.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "nlp/auto_tutorials/quickstarts/plot_text_classification.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_nlp_auto_tutorials_quickstarts_plot_text_classification.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_nlp_auto_tutorials_quickstarts_plot_text_classification.py:


.. _nlp__multiclass_quickstart:

Text Classification Quickstart
******************************

Deepchecks NLP tests your models during model development/research and before deploying to production. Using our
testing package reduces model failures and saves tests development time. In this quickstart guide, you will learn how
to use the deepchecks NLP package to analyze and evaluate text
classification tasks. If you are interested in a multilabel classification task, you can
refer to our :ref:`Multilabel Quickstart <nlp__multilabel_quickstart>`. We will cover the following steps:

1. `Creating a TextData object and auto calculating properties <#setting-up>`__
2. `Running the built-in suites and inspecting the results <#running-the-deepchecks-default-suites>`__
3. `We'll spotlight two interesting checks - Embeddings drift and Under-Annotated Segments <#running-individual-checks>`__

To run deepchecks for NLP, you need the following for both your train and test data:

1. Your :ref:`text data <nlp__textdata_object>` - a list of strings, each string is a single sample
   (can be a sentence, paragraph, document, etc.).
2. Your labels - either a :ref:`Text Classification <nlp_supported_text_classification>` label or a
   :ref:`Token Classification <nlp_supported_token_classification>` label. These are not needed for checks that
   don't require labels (such as the Embeddings Drift check or most data integrity checks), but are needed for
   many other checks.
3. Your model's predictions (see :ref:`nlp__supported_tasks` for info on supported formats). These are needed only for
   the model related checks, shown in the `Model Evaluation <#model-evaluation>`__ section of this guide.

If you don't have deepchecks installed yet:

.. code:: python

    import sys
    !{sys.executable} -m pip install 'deepchecks[nlp]' -U --quiet #--user

Some properties calculated by ``deepchecks.nlp`` require additional packages to be installed. You can
install them by running:

.. code:: python

    import sys
    !{sys.executable} -m pip install 'deepchecks[nlp-properties]' -U --quiet #--user

Setting Up
==========

Load Data
---------
For the purpose of this guide, we'll use a small subset of the
`tweet emotion <https://github.com/cardiffnlp/tweeteval>`__ dataset. This dataset contains tweets and their
corresponding emotion - Anger, Happiness, Optimism, and Sadness.

.. GENERATED FROM PYTHON SOURCE LINES 54-61

.. code-block:: default


    from deepchecks.nlp import TextData
    from deepchecks.nlp.datasets.classification import tweet_emotion

    train, test = tweet_emotion.load_data(data_format='DataFrame')
    train.head()





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    include_properties and include_embeddings are incompatible with data_format="Dataframe". loading only original text data.


.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <div>
    <style scoped>
        .dataframe tbody tr th:only-of-type {
            vertical-align: middle;
        }

        .dataframe tbody tr th {
            vertical-align: top;
        }

        .dataframe thead th {
            text-align: right;
        }
    </style>
    <table border="1" class="dataframe">
      <thead>
        <tr style="text-align: right;">
          <th></th>
          <th>text</th>
          <th>user_age</th>
          <th>gender</th>
          <th>days_on_platform</th>
          <th>user_region</th>
          <th>label</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>2</th>
          <td>No but that's so cute. Atsu was probably shy a...</td>
          <td>24.97</td>
          <td>Male</td>
          <td>2729</td>
          <td>Middle East/Africa</td>
          <td>happiness</td>
        </tr>
        <tr>
          <th>3</th>
          <td>Rooneys fucking untouchable isn't he? Been fuc...</td>
          <td>21.66</td>
          <td>Male</td>
          <td>1376</td>
          <td>Asia Pacific</td>
          <td>anger</td>
        </tr>
        <tr>
          <th>7</th>
          <td>Tiller and breezy should do a collab album. Ra...</td>
          <td>37.29</td>
          <td>Female</td>
          <td>3853</td>
          <td>Americas</td>
          <td>happiness</td>
        </tr>
        <tr>
          <th>8</th>
          <td>@user broadband is shocking regretting signing...</td>
          <td>15.39</td>
          <td>Female</td>
          <td>1831</td>
          <td>Europe</td>
          <td>anger</td>
        </tr>
        <tr>
          <th>9</th>
          <td>@user Look at those teef! #growl</td>
          <td>54.37</td>
          <td>Female</td>
          <td>4619</td>
          <td>Europe</td>
          <td>anger</td>
        </tr>
      </tbody>
    </table>
    </div>
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 62-74

We can see that we have the tweet text itself, the label (the emotion) and then some additional metadata columns.

Create a TextData Objects
-------------------------

We can now create a :ref:`TextData <nlp__textdata_object>` object for the train and test dataframes.
This object is used to pass your data to the deepchecks checks.

To create a TextData object, the only required argument is the text itself, but passing only the text
will prevent multiple checks from running. In this example we'll pass the label and define the task type and finally
define the :ref:`metadata columns <nlp__metadata_guide>` (the other columns in the dataframe) which we'll use later
on in the guide.

.. GENERATED FROM PYTHON SOURCE LINES 75-82

.. code-block:: default



    train = TextData(train.text, label=train['label'], task_type='text_classification',
                     metadata=train.drop(columns=['label', 'text']))
    test = TextData(test.text, label=test['label'], task_type='text_classification',
                    metadata=test.drop(columns=['label', 'text']))








.. GENERATED FROM PYTHON SOURCE LINES 83-91

Calculating Properties
----------------------

Some of deepchecks' checks use properties of the text samples for various calculations. Deepcheck has a wide
variety of such properties, some simple and some that rely on external models and are more heavy to run. In order
for deepchecks' checks to be able to access the properties, they must be stored within the
:ref:`TextData <nlp__textdata_object>` object. You can read more about properties in the
:ref:`Property Guide <nlp__properties_guide>`.

.. GENERATED FROM PYTHON SOURCE LINES 91-103

.. code-block:: default


    # properties can be either calculated directly by Deepchecks
    # or imported from other sources in appropriate format

    # device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
    # train.calculate_builtin_properties(
    #   include_long_calculation_properties=True, device=device
    # )
    # test.calculate_builtin_properties(
    #   include_long_calculation_properties=True,  device=device
    # )








.. GENERATED FROM PYTHON SOURCE LINES 104-105

In this example though we'll use pre-calculated properties:

.. GENERATED FROM PYTHON SOURCE LINES 105-113

.. code-block:: default


    train_properties, test_properties = tweet_emotion.load_properties()

    train.set_properties(train_properties, categorical_properties=['Language'])
    test.set_properties(test_properties, categorical_properties=['Language'])

    train.properties.head(2)






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <div>
    <style scoped>
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      <thead>
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          <th></th>
          <th>Text Length</th>
          <th>Average Word Length</th>
          <th>Max Word Length</th>
          <th>% Special Characters</th>
          <th>Language</th>
          <th>Sentiment</th>
          <th>Subjectivity</th>
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          <td>102</td>
          <td>6.923077</td>
          <td>18</td>
          <td>0.049020</td>
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          <td>-0.8</td>
          <td>0.90</td>
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      </tbody>
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.. GENERATED FROM PYTHON SOURCE LINES 114-129

Running the Deepchecks Default Suites
=====================================

Deepchecks comes with a set of pre-built suites that can be used to run a set of checks on your data, alongside
with their default conditions and thresholds. You can read more about customizing and creating your own suites in the
:ref:`Customizations Guide <general__customizations>`. In this guide we'll be using 3 suites - the data integrity
suite, the train test validation suite and the model evaluation suite. You can also run all the checks at once using
the :mod:`full_suite <deepchecks.nlp.suites>`.

Data Integrity
--------------
We will start by doing preliminary integrity check to validate the text formatting. It is recommended to do this step
before model training as it may imply additional data engineering is required.

We'll do that using the :mod:`data_integrity <deepchecks.nlp.suites>` pre-built suite.

.. GENERATED FROM PYTHON SOURCE LINES 129-135

.. code-block:: default


    from deepchecks.nlp.suites import data_integrity

    data_integrity_suite = data_integrity()
    data_integrity_suite.run(train, test)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    Data Integrity Suite:
    |         | 0/9 [Time: 00:00]
    Data Integrity Suite:
    |█        | 1/9 [Time: 00:00, Check=Text Property Outliers]
    Data Integrity Suite:
    |██       | 2/9 [Time: 00:01, Check=Unknown Tokens]        
    Data Integrity Suite:
    |█████    | 5/9 [Time: 00:01, Check=Property Label Correlation]
    Data Integrity Suite:
    |██████   | 6/9 [Time: 00:03, Check=Conflicting Labels]        
    Data Integrity Suite:
    |███████  | 7/9 [Time: 00:05, Check=Text Duplicates]   
    Data Integrity Suite:
    |████████ | 8/9 [Time: 00:05, Check=Special Characters]
    Data Integrity Suite:
    |█████████| 9/9 [Time: 00:05, Check=Frequent Substrings]
                                                                              

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Train Dataset</a></td>\n      <td id=\"T_09ece_row0_col2\" class=\"data row0 col2\" >Outlier ratio in all properties is less or equal than 5%</td>\n      <td id=\"T_09ece_row0_col3\" class=\"data row0 col3\" >Found 2 properties with outlier ratios above threshold.</br>Property with highest ratio is Toxicity with outlier ratio of 16%</td>\n    </tr>\n    <tr>\n      <td id=\"T_09ece_row1_col0\" class=\"data row1 col0\" ><div style=\"color: red;text-align: center\">\u2716</div></td>\n      <td id=\"T_09ece_row1_col1\" class=\"data row1 col1\" ><a href=\"#TextPropertyOutliers-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\">Text Property Outliers - Test Dataset</a></td>\n      <td id=\"T_09ece_row1_col2\" class=\"data row1 col2\" >Outlier ratio in all properties is less or equal than 5%</td>\n      <td id=\"T_09ece_row1_col3\" class=\"data row1 col3\" >Found 1 properties with outlier ratios above threshold.</br>Property with highest ratio is Toxicity with outlier ratio of 16.43%</td>\n    </tr>\n    <tr>\n      <td id=\"T_09ece_row2_col0\" class=\"data row2 col0\" ><div style=\"color: red;text-align: center\">\u2716</div></td>\n      <td id=\"T_09ece_row2_col1\" class=\"data row2 col1\" ><a href=\"#UnknownTokens-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\">Unknown Tokens - Train Dataset</a></td>\n      <td id=\"T_09ece_row2_col2\" class=\"data row2 col2\" >Ratio of unknown words is less than 0%</td>\n      <td id=\"T_09ece_row2_col3\" class=\"data row2 col3\" >Ratio was 0.79%</td>\n    </tr>\n    <tr>\n      <td id=\"T_09ece_row3_col0\" class=\"data row3 col0\" ><div style=\"color: red;text-align: center\">\u2716</div></td>\n      <td id=\"T_09ece_row3_col1\" class=\"data row3 col1\" ><a href=\"#UnknownTokens-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\">Unknown Tokens - Test Dataset</a></td>\n      <td id=\"T_09ece_row3_col2\" class=\"data row3 col2\" >Ratio of unknown words is less than 0%</td>\n      <td id=\"T_09ece_row3_col3\" class=\"data row3 col3\" >Ratio was 0.68%</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "7f6123944ffc4be8acd69a1206278bc8": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "aa54b047f3f543f88a2e81d57adde9f2": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "04453138dcb9468dbd2dbdf319e6e1b5": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_3cf9d804b0894d5b80b2882173945e17", "style": "IPY_MODEL_c765306ca93442a28e50903f83042045", "value": "<hr style=\"background-color: #eee;border: 0 none;color: #eee;height: 4px;\">"}}, "3cf9d804b0894d5b80b2882173945e17": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "c765306ca93442a28e50903f83042045": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "74bafdb893864ea396bf39f5933567c9": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_86794c9d31a64e4ab687a2bc2d892b0b", "IPY_MODEL_35fc294b59934e2f8f14c0a65a48e894", "IPY_MODEL_5b2fdb4dd7f54f6598e37afb4a9a88b1", "IPY_MODEL_8d91496f14f944989d4a0356cea66abb"], "layout": "IPY_MODEL_67e3abcb95e5460f90d2a8d24b74ab5b"}}, "86794c9d31a64e4ab687a2bc2d892b0b": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_e3671f96d678464099bcd37410e9e668", "style": "IPY_MODEL_7178e989c84a41d791e55076fdd74198", "value": "<h4 id=\"TextPropertyOutliers-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\"><b>Text Property Outliers - Train Dataset</b></h4>"}}, "e3671f96d678464099bcd37410e9e668": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "7178e989c84a41d791e55076fdd74198": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "35fc294b59934e2f8f14c0a65a48e894": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_237062417de843e0b0f160d1a3efaee0", "style": "IPY_MODEL_dcd8127af47e41d5ac392497daa76607", "value": "<p>Find outliers with respect to the given properties. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_text_property_outliers.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "237062417de843e0b0f160d1a3efaee0": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "dcd8127af47e41d5ac392497daa76607": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "5b2fdb4dd7f54f6598e37afb4a9a88b1": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_99e8adf9fa86439f8d96df7618c95f68", "style": "IPY_MODEL_321ff5f0b29b4c50a1eb2ddcb67f8b6f", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_ea34e_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ea34e_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ea34e_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ea34e_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ea34e_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_ea34e_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_ea34e_row0_col0\" class=\"data row0 col0\" ><div style=\"color: red;text-align: center\">\u2716</div></td>\n      <td id=\"T_ea34e_row0_col1\" class=\"data row0 col1\" >Outlier ratio in all properties is less or equal than 5%</td>\n      <td id=\"T_ea34e_row0_col2\" class=\"data row0 col2\" >Found 2 properties with outlier ratios above threshold.</br>Property with highest ratio is Toxicity with outlier ratio of 16%</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "99e8adf9fa86439f8d96df7618c95f68": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "321ff5f0b29b4c50a1eb2ddcb67f8b6f": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "8d91496f14f944989d4a0356cea66abb": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_98d65a3aac074325b1ee2e381a3577da", "IPY_MODEL_4090dfc63a5f4407bfa7dae5df0eecc5", "IPY_MODEL_b80f857de3f84f32a06d816f5d22589d", "IPY_MODEL_c319cb6268ce48638f46c711ab9bde97", "IPY_MODEL_fc2c81fa5ea342bb860300e6e9b4ab35", "IPY_MODEL_c270179e670746bf9405e1f786afbba6", "IPY_MODEL_421a397486db4a14a32b8e6c017587dd", "IPY_MODEL_54324477f4384df8afac736bc214142b", "IPY_MODEL_bd3748c4cb1f400fae3d90feec0ac1c1"], "layout": "IPY_MODEL_66e84d4329824419b7649d965ea4196c"}}, "98d65a3aac074325b1ee2e381a3577da": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_8513f577252a40ed84cb2d4e85f90729", "style": "IPY_MODEL_a384f7f41c374eebac28817788c6b13d", "value": "<h5><b>Additional Outputs</b></h5>"}}, "8513f577252a40ed84cb2d4e85f90729": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "a384f7f41c374eebac28817788c6b13d": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "4090dfc63a5f4407bfa7dae5df0eecc5": {"model_name": "FigureModel", "model_module": "jupyterlab-plotly", "model_module_version": "^5.17.0", "state": {"_config": {"plotlyServerURL": "https://plot.ly"}, "_data": [{"customdata": [["You can clearly appreciate the sub-harmonics in both...-ONE\ud83d\udcaf-<br>\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\udc4d\ud83c\udfff", "0.0005593046080321", "0.0"], ["Been working in Blanchardstown shopping centre for over 2<br>years now and I only figured out today where Marks &amp;<br>Spencer's is #lost", "0.000655340657103748", "2.0186915887850465"], ["@user I've finished reading it; simply mind-blogging. The<br>writer said 'to be continued' but I haven't found part 2.<br>#depressing", "0.00071446975925932", "4.0"], ["Being in the countryside all day was so pleasing", "0.000761273186653824", "6.018691588785047"], ["Any #entrenepuers, #start ups, #SME's out there looking for<br>proactive #accountancy, #tax and #business advice? We can<br>help. Get in touch.", "0.000827768179588004", "8.0"], ["I like cycling because I get to intimidate people with my<br>powerful calves &amp; horrendous tan lines.", "0.00089072203263632", "10.018691588785046"], ["Am I the only one with parking sensors who still manages to<br>reverse into things?", "0.0009636617684736761", "12.0"], ["#nana 4 hoco bc my dream since freshman year awe \ud83d\ude19\u2764\u2764\u2764 @user", "0.001067786207422536", "14.018691588785046"], ["someone cheer me up", "0.0011542352940887041", "16.0"], ["@user @user \\nI like your thinking...but sadly no - that's<br>the shed \ud83d\ude22", "0.00126358211040496", "18.018691588785046"], ["@user We've had no foreign policy but have had goofy<br>Secretary of State John Kerry with his devil may care pose<br>and jaunty blue scarf.", "0.0014146715868263797", "20.0"], ["finally leaving my first job soon. i've been working here<br>since i was 16. going to be kind of bitter sweet", "0.001573133985511896", "22.018691588785046"], ["Listening to @user at work is my slice of sunshine in this<br>dreary cube world #9to5life", "0.001778351720422472", "24.0"], ["Day 1 tom \ud83d\ude31", "0.002083999561145808", "26.018691588785046"], ["@user let them know it's the #blues", "0.00244780527427784", "28.0"], ["I've never been happier. I'm laying awake as I watch @user<br>sleep. Thanks for making me happy again, babe.", "0.002936502965167081", "30.018691588785046"], ["I'm furious, wondering what happens after the latest 'Yep,<br>sounds pretty treasonous' scandal. At least calling Sens is<br>something we can DO.", "0.00347569028846916", "32.0"], ["@user doing the exact same minus the beer sadly", "0.004229471776634408", "34.018691588785046"], ["@user @user Ha. Right. I'm from San Jose, CA, and I was<br>offended right there with you. Dave, go on a walk or<br>something next time.", "0.005081056375056474", "36.0"], ["@user looking like @user in his heyday", "0.006155036352574752", "38.018691588785046"], ["I can't mourn Kid Cudi cause we have Travis Scott...", "0.007300002593547045", "40.0"], ["#Malaysian police arrest 4 people for suspected links to<br>#terrorism including three #foreigners\\n\\n#Malaysia", "0.008847604580223486", "42.018691588785046"], ["@user If you don't love yourself... Honesty is the best<br>policy", "0.010269183814525563", "44.0"], ["Unrealistic expectations attract disappointment. And that's<br>what you were #disappointment #sad", "0.01201357539743177", "46.018691588785046"], ["@user @user whatever Sam is holding on your tee looks like<br>it's got a droop on \ud83d\ude02", "0.014102986454963653", "48.0"], ["Today's gloomy weather reminded me that winter is coming and<br>then it'll be cold again for 7 months. #pessimist", "0.0163109991699457", "49.981308411214954"], ["@user Wow you don't read mine? #offended", "0.01924849949777125", "52.0"], ["@user @user @user you are so wrong for this!needed levity<br>after that recording", "0.020935599369053932", "53.12149532710281"], ["@user I'm feeling bad for the family dog.  #nightmare", "0.022271705493330934", "53.981308411214954"], ["Just died from laughter after seeing that\ud83d\ude02\ud83d\ude2d\ud83d\ude02\ud83d\ude2d", "0.026406342983245817", "56.0"], ["@user glee glee glee glee gLEE GLEE i LOST LOST LOST lowe<br>much", "0.03162506699562075", "57.981308411214954"], ["I feel like I am drowning. #depression  #falure #worthless", "0.03799674361944196", "60.0"], ["I CANT EVEN BREATHE IMM STILL ROLLIN UP THAT CHRONIC \ud83d\ude24", "0.041311894130075764", "60.78504672897196"], ["@user has providing customers w/equipment that doesn't<br>deliver speeds of internet services that they have been<br>charging.  #scam", "0.04608248203992841", "61.981308411214954"], ["@user against Chelsea anything is possible haha. I'm fuming<br>about that bet \ud83d\ude44\ud83d\ude44\ud83d\ude44\ud83d\ude44\ud83d\ude44\ud83d\ude44", "0.054315923750400605", "64.0"], ["I get so heated when I see people go to Thailand and post<br>pictures at places I KNOW animals are exploited and abused.<br>#fuming \ud83d\ude43", "0.061688188891097596", "65.08411214953271"], ["@user you got this\ud83d\udc99 #staystrong #smile #yourebeautiful", "0.06591677248477933", "65.98130841121495"], ["Yaaaaaaaaaaaas!!!! Scotty Sinclair #wonderful #magical", "0.07885540902614595", "68.0"], ["@user @user shocking work ethic by our players, Rooney<br>stifled by their laziness", "0.08206448365211942", "68.33644859813084"], ["When your friends want to go out drinking but you know you<br>gonna have to say no because social #anxiety runs your life", "0.09917682409286502", "69.98130841121495"], ["#Taurus, for the most part, you have perfect control over<br>your Emotions and you are careful not to be so sulky around<br>anyone!", "0.10244077841314125", "70.35514018691589"], ["Pakistan is the biggest victim of terrorism - Nawaz Sharif<br>\\nReally? It should have been biggest creator of terrorism.<br>#UNGA", "0.11491833090782162", "72.0"], ["Val having a nervous breakdown #floss #GBBO", "0.12281707317416309", "72.6355140186916"], ["r U scared to present in front of the class? severe<br>anxiety... whats That r u sad sometimes?? go get ur<br>depression checked out IMEDIATELY!!!", "0.14165741622447964", "73.98130841121495"], ["@user @user Horrid disease! My maternal grandmother and each<br>of her sisters suffered from this affliction. It's hard on<br>all.", "0.14319336793518495", "74.05607476635514"], ["@user #fear &amp; #anger are similar to what #Hitler<br>preached to come to power in Germany. Wake up America!!", "0.16356966269620676", "75.4766355140187"], ["my momma irritate me asking all these questions like gone \ud83d\ude24", "0.17272350728511804", "76.0"], ["@user decorations are up all over Jersey already #outrage", "0.18394595745722858", "76.5233644859813"], ["@user @user @user Shew. That was #awful", "0.20432225221825043", "77.1214953271028"], ["@user  NO greater wrath than a woman scorned.", "0.22469854697927227", "77.7196261682243"], ["@user please fire don lemon!!Do not let him report on<br>anymore  protest. He is #horrible #negative and runs away<br>from the issue at hand!", "0.2326927912235261", "77.98130841121495"], ["@user sad day Danny \ud83d\ude13you have been and still are a true<br>Leeds rhino you have been brilliant at the club I will miss<br>you", "0.2450748417402941", "78.46728971962617"], ["Democracy doesn't work\\n #mob #mentality #mass #hysteria <br>#mongering #oligarchy", "0.2654511365013159", "79.10280373831776"], ["Have you ever just cried, because you were in the middle of<br>some bomb rest and someone woke you up with an emergency.<br>#sleep #cry #kms #dead", "0.2858274312623378", "79.73831775700934"], ["Part of #danielhive #insecure i got you", "0.292610502243042", "80.0"], ["@user I'll be there!! Can't wait for all the #mirth!", "0.3062037260233596", "80.33644859813084"], ["i swear to god the worst drug is loving someone. physical<br>withdrawals aren't that bad, emotional withdrawals sting a<br>little more", "0.3265800207843814", "81.04672897196262"], ["@user I can't wait to hear what he had to say about the<br>brilliant Dr. Hawking... it should be rich... In the poorest<br>of taste! #bully", "0.34695631554540324", "81.34579439252336"], ["@user @user No empathetic and realistic, I know when enough<br>is enough unlike the rabid GOSH bashing mob.", "0.36733261030642506", "81.6822429906542"], ["@user she looks completely #rabid @user", "0.3813343203067787", "81.98130841121495"], ["All hell is breaking loose in Charlotte. #CharlotteProtest <br>#looting", "0.38770890506744693", "82.16822429906541"], ["@user you have anger issues!", "0.40808519982846875", "82.72897196261682"], ["Got paid to vacuum up rat poop. (-: never a dull day in the<br>biology department ...", "0.42846149458949057", "83.02803738317758"], ["I'M PISSED!! NOTHING HAPPENED DURING THE ECLIPSE!!<br>NOTHING!!!!  #party", "0.44883778935051244", "83.40186915887851"], ["I know I've painted quite a grim picture of your chances.<br>But if you simply stand here, we will both surely die.", "0.46921408411153426", "84.0"], ["I know I've painted quite a grim picture of your chances.<br>But if you simply stand here, we will both surely die.", "0.46921408411153426", "84.0"], ["All hell is breaking loose in Charlotte. #CharlotteProtest<br>#anger #looting", "0.4895903788725561", "84.37383177570094"], ["God knows why you'd wanna go with a girl who's slept with<br>half ya mates #grim", "0.509966673633578", "84.74766355140187"], ["@user quite simply the #worst #airline #worstairline I've<br>ever used!  #appauling  #dismal #beyondajoke #useless", "0.5303429683945997", "85.08411214953271"], ["@user  \\nSo when exactly did you lose your mind, pal?<br>\\n#Trump #fraud #misogynist #liar #psychopath #narcissist<br>#revolting #conartist", "0.5507192631556216", "85.34579439252336"], ["@user The worst customer service and lack of professionalism<br>from this service provider! #phoneprovider #badbusiness<br>#terrible", "0.5710955579166435", "85.90654205607477"], ["@user stand up to #sexism - let people #die for lack of<br>funds - but make sure you stand up against #sexism-are they<br>#mad in #Ludlow", "0.5725873517990112", "85.98130841121495"], ["Fake people irritate me", "0.5914718526776652", "86.09345794392523"], ["And to discriminate only generates hate\\nAnd when you hate<br>then you're bound to get irate,", "0.6118481474386871", "86.39252336448598"], ["@user \ud83d\udda4\ud83d\udda4\ud83d\ude2d\ud83e\udd2c Amen! Hope for revenge. This person should be<br>punished manslaughter.", "0.6322244421997089", "86.91588785046729"], ["Even at this level, rojo still manages to play god damn<br>awful. #MUFC", "0.6526007369607307", "87.25233644859813"], ["@user @user even if he says nothing, he'll still piss some<br>people off. He's gotta decide who he wants to make angry.", "0.6729770317217526", "87.51401869158879"], ["@user listen yh don't provoke me cos I'll make you cry", "0.6933533264827744", "87.92523364485982"], ["@user meden is frowning at you with her non existent face", "0.6975105023384094", "88.0"], ["Swear all of my guy friends are scaredy cats. You don't do<br>horror movies. You don't do haunted houses. Wtf do you do<br>then?", "0.7137296212437962", "88.37383177570094"], ["Don't chase fame\\nif you're going\\nto resent it\\nwhen it<br>starts\\nchasing you'\\nWRDSMTH", "0.734105916004818", "88.97196261682242"], ["@user &lt; took another sip. \u201cWe\u2019ve had some earth<br>shattering, soul exhilarating sex. You think black souls can<br>have that kind of &gt;", "0.7544822107658399", "89.30841121495327"], ["Today #wanking target: #Long #sexy #tongues\\nThat's my<br>#fetish - #long #yummy #tongue\\nIf any girl want,sent me<br>your tongue photo :) I love it", "0.7748585055268618", "89.57009345794393"], ["Bloody hell Pam, calm yourself down. But could have sworn<br>something black &amp; hairy just ran across the carpet,<br>#perilsoflivingalone", "0.7952348002878835", "89.90654205607477"], ["Damn I just walked up to the train station and I literally<br>died", "0.8062271714210508", "89.98130841121495"], ["I've been wanting salty fries from McDonald's since<br>yesterday and I'm burning my fingers eating them bc these<br>shits \ud83d\udd25\ud83d\udd25\ud83d\udd25", "0.8156110950489054", "90.16822429906541"], ["@user yessss waiting for an epi is for the birds. it sucks.<br>im waiting for walking dead new season\ud83d\ude29", "0.8359873898099273", "90.61682242990655"], ["Got a $20 tip from a drunk Uber passenger. Today I get a $25<br>parking ticket. I'd blame karma but my dumb ass forgot to<br>pay the meter.", "0.856363684570949", "91.14018691588785"], ["Worst juror ever? Michelle. You were Nicole's biggest<br>threat. #bitter #bb18", "0.8767399793319709", "91.81308411214954"], ["The wildest shit just happened at work I'm astounded", "0.8876272034645081", "92.0"], ["@user Yeah I've had that, l say hopefully you'll never get<br>it then you horrific waste of skin.", "0.8971162740929928", "92.22429906542057"], ["Caroline FFS shut this whinging \u2018Last Word Tom\u2019 up!! He is<br>unlikeable &amp; a smartass! His biases R boring! @user<br>@user", "0.9174925688540145", "92.71028037383178"], ["@user money grabbing and RUBBISH customer service!!! Rapids<br>shut but no reply to emails! #diabolical #CustomerService<br>#crap", "0.9378688636150364", "93.53271028037383"], ["@user you are a cruel, cruel man. #therewillbeblood", "0.9546356892585754", "93.98130841121495"], ["Swear I got the most playful ass bf ever \ud83d\ude02\ud83d\ude44", "0.9582451583760582", "94.35514018691589"], ["And all the bullshit in your live ends and nothing will<br>bother you ever again #depression", "0.97862145313708", "95.81308411214954"], ["@user don't tweet shit like this! It'll come back and haunt<br>you like your other ones \ud83d\ude2d\ud83d\ude02", "0.9805088543891908", "96.0"], ["How the fu*k! Who the heck! moved my fridge!... should I<br>knock the landlord door.  #mad ##", "0.9935983872413635", "97.98130841121495"], ["@user grim what the fuck going on with these dame fucking<br>clowns takeing the gameing channel if I had a way to nj I<br>would delete", "0.9989977478981018", "99.96261682242991"]], "fill": "tozeroy", "fillcolor": "rgba(105, 179, 162, 0.7)", "hovertemplate": "<b>Toxicity</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(105, 179, 162, 1)", "shape": "linear", "width": 5}, "name": "Common", "x": [0.0005593046080321, 0.000655340657103748, 0.00071446975925932, 0.000761273186653824, 0.000827768179588004, 0.00089072203263632, 0.0009636617684736761, 0.001067786207422536, 0.0011542352940887041, 0.00126358211040496, 0.0014146715868263797, 0.001573133985511896, 0.001778351720422472, 0.002083999561145808, 0.00244780527427784, 0.002936502965167081, 0.00347569028846916, 0.004229471776634408, 0.005081056375056474, 0.006155036352574752, 0.007300002593547045, 0.008847604580223486, 0.010269183814525563, 0.01201357539743177, 0.014102986454963653, 0.0163109991699457, 0.01924849949777125, 0.020935599369053932, 0.022271705493330934, 0.026406342983245817, 0.03162506699562075, 0.03799674361944196, 0.041311894130075764, 0.04608248203992841, 0.054315923750400605, 0.061688188891097596, 0.06591677248477933, 0.07885540902614595, 0.08206448365211942, 0.09917682409286502, 0.10244077841314125, 0.11491833090782162, 0.12281707317416309, 0.14165741622447964, 0.14319336793518495, 0.16356966269620676, 0.17272350728511804, 0.18394595745722858, 0.20432225221825043, 0.22469854697927227, 0.2326927912235261, 0.2450748417402941, 0.2654511365013159, 0.2858274312623378, 0.292610502243042, 0.3062037260233596, 0.3265800207843814, 0.34695631554540324, 0.36733261030642506, 0.3813343203067787, 0.38770890506744693, 0.40808519982846875, 0.42846149458949057, 0.44883778935051244, 0.46921408411153426, 0.46921408411153426, 0.4895903788725561, 0.509966673633578, 0.5303429683945997, 0.5507192631556216, 0.5710955579166435, 0.5725873517990112, 0.5914718526776652, 0.6118481474386871, 0.6322244421997089, 0.6526007369607307, 0.6729770317217526, 0.6933533264827744, 0.6975105023384094, 0.7137296212437962, 0.734105916004818, 0.7544822107658399, 0.7748585055268618, 0.7952348002878835, 0.8062271714210508, 0.8156110950489054, 0.8359873898099273, 0.856363684570949, 0.8767399793319709, 0.8876272034645081, 0.8971162740929928, 0.9174925688540145, 0.9378688636150364, 0.9546356892585754, 0.9582451583760582, 0.97862145313708, 0.9805088543891908, 0.9935983872413635, 0.9989977478981018], "y": [3.5578565615435434, 3.5587335127812523, 3.5592710666897878, 3.5596952776272954, 3.560296008753642, 3.5608626299758086, 3.5615165522176584, 3.5624452558280444, 3.56321202113438, 3.5641763024045248, 3.565498436994797, 3.566872293133799, 3.568632024888723, 3.571212113209579, 3.57421935045546, 3.5781496166872437, 3.5823401404601123, 3.587941340080791, 3.5939074314872834, 3.600882168319295, 3.6076403745223415, 3.6156595389472894, 3.621891815649976, 3.62805165011771, 3.633268533660747, 3.63622124986993, 3.636081517248056, 3.6339116006778736, 3.6311179545605894, 3.6165141376211487, 3.5854876110995475, 3.529334572507828, 3.4925771822682243, 3.43118413388474, 3.303669945080237, 3.1693609496501485, 3.0850976368133916, 2.8025498317659308, 2.7282672352619373, 2.32035200362776, 2.242331642127086, 1.950748938721676, 1.7750966801432433, 1.3970616101645161, 1.369157906064125, 1.0436836235200215, 0.9242203436895363, 0.7988631887276192, 0.6233988502215516, 0.50158347021543, 0.4650370774236938, 0.4181424636377255, 0.36061955147414304, 0.3199721403186024, 0.3090760805340356, 0.29020367514996037, 0.26763665438647277, 0.25015074912768104, 0.23652924681123183, 0.22898825435340667, 0.22597494736287704, 0.21781845615230763, 0.2114075690929695, 0.2061302849510477, 0.20149970262970765, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "type": "scatter", "uid": "cb14fa59-c958-4933-95a1-34248721461a"}, {"customdata": [["You can clearly appreciate the sub-harmonics in both...-ONE\ud83d\udcaf-<br>\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\udc4d\ud83c\udfff", "0.0005593046080321", "0.0"], ["Been working in Blanchardstown shopping centre for over 2<br>years now and I only figured out today where Marks &amp;<br>Spencer's is #lost", "0.000655340657103748", "2.0186915887850465"], ["@user I've finished reading it; simply mind-blogging. The<br>writer said 'to be continued' but I haven't found part 2.<br>#depressing", "0.00071446975925932", "4.0"], ["Being in the countryside all day was so pleasing", "0.000761273186653824", "6.018691588785047"], ["Any #entrenepuers, #start ups, #SME's out there looking for<br>proactive #accountancy, #tax and #business advice? We can<br>help. Get in touch.", "0.000827768179588004", "8.0"], ["I like cycling because I get to intimidate people with my<br>powerful calves &amp; horrendous tan lines.", "0.00089072203263632", "10.018691588785046"], ["Am I the only one with parking sensors who still manages to<br>reverse into things?", "0.0009636617684736761", "12.0"], ["#nana 4 hoco bc my dream since freshman year awe \ud83d\ude19\u2764\u2764\u2764 @user", "0.001067786207422536", "14.018691588785046"], ["someone cheer me up", "0.0011542352940887041", "16.0"], ["@user @user \\nI like your thinking...but sadly no - that's<br>the shed \ud83d\ude22", "0.00126358211040496", "18.018691588785046"], ["@user We've had no foreign policy but have had goofy<br>Secretary of State John Kerry with his devil may care pose<br>and jaunty blue scarf.", "0.0014146715868263797", "20.0"], ["finally leaving my first job soon. i've been working here<br>since i was 16. going to be kind of bitter sweet", "0.001573133985511896", "22.018691588785046"], ["Listening to @user at work is my slice of sunshine in this<br>dreary cube world #9to5life", "0.001778351720422472", "24.0"], ["Day 1 tom \ud83d\ude31", "0.002083999561145808", "26.018691588785046"], ["@user let them know it's the #blues", "0.00244780527427784", "28.0"], ["I've never been happier. I'm laying awake as I watch @user<br>sleep. Thanks for making me happy again, babe.", "0.002936502965167081", "30.018691588785046"], ["I'm furious, wondering what happens after the latest 'Yep,<br>sounds pretty treasonous' scandal. At least calling Sens is<br>something we can DO.", "0.00347569028846916", "32.0"], ["@user doing the exact same minus the beer sadly", "0.004229471776634408", "34.018691588785046"], ["@user @user Ha. Right. I'm from San Jose, CA, and I was<br>offended right there with you. Dave, go on a walk or<br>something next time.", "0.005081056375056474", "36.0"], ["@user looking like @user in his heyday", "0.006155036352574752", "38.018691588785046"], ["I can't mourn Kid Cudi cause we have Travis Scott...", "0.007300002593547045", "40.0"], ["#Malaysian police arrest 4 people for suspected links to<br>#terrorism including three #foreigners\\n\\n#Malaysia", "0.008847604580223486", "42.018691588785046"], ["@user If you don't love yourself... Honesty is the best<br>policy", "0.010269183814525563", "44.0"], ["Unrealistic expectations attract disappointment. And that's<br>what you were #disappointment #sad", "0.01201357539743177", "46.018691588785046"], ["@user @user whatever Sam is holding on your tee looks like<br>it's got a droop on \ud83d\ude02", "0.014102986454963653", "48.0"], ["Today's gloomy weather reminded me that winter is coming and<br>then it'll be cold again for 7 months. #pessimist", "0.0163109991699457", "49.981308411214954"], ["@user Wow you don't read mine? #offended", "0.01924849949777125", "52.0"], ["@user @user @user you are so wrong for this!needed levity<br>after that recording", "0.020935599369053932", "53.12149532710281"], ["@user I'm feeling bad for the family dog.  #nightmare", "0.022271705493330934", "53.981308411214954"], ["Just died from laughter after seeing that\ud83d\ude02\ud83d\ude2d\ud83d\ude02\ud83d\ude2d", "0.026406342983245817", "56.0"], ["@user glee glee glee glee gLEE GLEE i LOST LOST LOST lowe<br>much", "0.03162506699562075", "57.981308411214954"], ["I feel like I am drowning. #depression  #falure #worthless", "0.03799674361944196", "60.0"], ["I CANT EVEN BREATHE IMM STILL ROLLIN UP THAT CHRONIC \ud83d\ude24", "0.041311894130075764", "60.78504672897196"], ["@user has providing customers w/equipment that doesn't<br>deliver speeds of internet services that they have been<br>charging.  #scam", "0.04608248203992841", "61.981308411214954"], ["@user against Chelsea anything is possible haha. I'm fuming<br>about that bet \ud83d\ude44\ud83d\ude44\ud83d\ude44\ud83d\ude44\ud83d\ude44\ud83d\ude44", "0.054315923750400605", "64.0"], ["I get so heated when I see people go to Thailand and post<br>pictures at places I KNOW animals are exploited and abused.<br>#fuming \ud83d\ude43", "0.061688188891097596", "65.08411214953271"], ["@user you got this\ud83d\udc99 #staystrong #smile #yourebeautiful", "0.06591677248477933", "65.98130841121495"], ["Yaaaaaaaaaaaas!!!! Scotty Sinclair #wonderful #magical", "0.07885540902614595", "68.0"], ["@user @user shocking work ethic by our players, Rooney<br>stifled by their laziness", "0.08206448365211942", "68.33644859813084"], ["When your friends want to go out drinking but you know you<br>gonna have to say no because social #anxiety runs your life", "0.09917682409286502", "69.98130841121495"], ["#Taurus, for the most part, you have perfect control over<br>your Emotions and you are careful not to be so sulky around<br>anyone!", "0.10244077841314125", "70.35514018691589"], ["Pakistan is the biggest victim of terrorism - Nawaz Sharif<br>\\nReally? It should have been biggest creator of terrorism.<br>#UNGA", "0.11491833090782162", "72.0"], ["Val having a nervous breakdown #floss #GBBO", "0.12281707317416309", "72.6355140186916"], ["r U scared to present in front of the class? severe<br>anxiety... whats That r u sad sometimes?? go get ur<br>depression checked out IMEDIATELY!!!", "0.14165741622447964", "73.98130841121495"], ["@user @user Horrid disease! My maternal grandmother and each<br>of her sisters suffered from this affliction. It's hard on<br>all.", "0.14319336793518495", "74.05607476635514"], ["@user #fear &amp; #anger are similar to what #Hitler<br>preached to come to power in Germany. Wake up America!!", "0.16356966269620676", "75.4766355140187"], ["my momma irritate me asking all these questions like gone \ud83d\ude24", "0.17272350728511804", "76.0"], ["@user decorations are up all over Jersey already #outrage", "0.18394595745722858", "76.5233644859813"], ["@user @user @user Shew. That was #awful", "0.20432225221825043", "77.1214953271028"], ["@user  NO greater wrath than a woman scorned.", "0.22469854697927227", "77.7196261682243"], ["@user please fire don lemon!!Do not let him report on<br>anymore  protest. He is #horrible #negative and runs away<br>from the issue at hand!", "0.2326927912235261", "77.98130841121495"], ["@user sad day Danny \ud83d\ude13you have been and still are a true<br>Leeds rhino you have been brilliant at the club I will miss<br>you", "0.2450748417402941", "78.46728971962617"], ["Democracy doesn't work\\n #mob #mentality #mass #hysteria <br>#mongering #oligarchy", "0.2654511365013159", "79.10280373831776"], ["Have you ever just cried, because you were in the middle of<br>some bomb rest and someone woke you up with an emergency.<br>#sleep #cry #kms #dead", "0.2858274312623378", "79.73831775700934"], ["Part of #danielhive #insecure i got you", "0.292610502243042", "80.0"], ["@user I'll be there!! Can't wait for all the #mirth!", "0.3062037260233596", "80.33644859813084"], ["i swear to god the worst drug is loving someone. physical<br>withdrawals aren't that bad, emotional withdrawals sting a<br>little more", "0.3265800207843814", "81.04672897196262"], ["@user I can't wait to hear what he had to say about the<br>brilliant Dr. Hawking... it should be rich... In the poorest<br>of taste! #bully", "0.34695631554540324", "81.34579439252336"], ["@user @user No empathetic and realistic, I know when enough<br>is enough unlike the rabid GOSH bashing mob.", "0.36733261030642506", "81.6822429906542"], ["@user she looks completely #rabid @user", "0.3813343203067787", "81.98130841121495"], ["All hell is breaking loose in Charlotte. #CharlotteProtest <br>#looting", "0.38770890506744693", "82.16822429906541"], ["@user you have anger issues!", "0.40808519982846875", "82.72897196261682"], ["Got paid to vacuum up rat poop. (-: never a dull day in the<br>biology department ...", "0.42846149458949057", "83.02803738317758"], ["I'M PISSED!! NOTHING HAPPENED DURING THE ECLIPSE!!<br>NOTHING!!!!  #party", "0.44883778935051244", "83.40186915887851"], ["I know I've painted quite a grim picture of your chances.<br>But if you simply stand here, we will both surely die.", "0.46921408411153426", "84.0"], ["I know I've painted quite a grim picture of your chances.<br>But if you simply stand here, we will both surely die.", "0.46921408411153426", "84.0"], ["All hell is breaking loose in Charlotte. #CharlotteProtest<br>#anger #looting", "0.4895903788725561", "84.37383177570094"], ["God knows why you'd wanna go with a girl who's slept with<br>half ya mates #grim", "0.509966673633578", "84.74766355140187"], ["@user quite simply the #worst #airline #worstairline I've<br>ever used!  #appauling  #dismal #beyondajoke #useless", "0.5303429683945997", "85.08411214953271"], ["@user  \\nSo when exactly did you lose your mind, pal?<br>\\n#Trump #fraud #misogynist #liar #psychopath #narcissist<br>#revolting #conartist", "0.5507192631556216", "85.34579439252336"], ["@user The worst customer service and lack of professionalism<br>from this service provider! #phoneprovider #badbusiness<br>#terrible", "0.5710955579166435", "85.90654205607477"], ["@user stand up to #sexism - let people #die for lack of<br>funds - but make sure you stand up against #sexism-are they<br>#mad in #Ludlow", "0.5725873517990112", "85.98130841121495"], ["Fake people irritate me", "0.5914718526776652", "86.09345794392523"], ["And to discriminate only generates hate\\nAnd when you hate<br>then you're bound to get irate,", "0.6118481474386871", "86.39252336448598"], ["@user \ud83d\udda4\ud83d\udda4\ud83d\ude2d\ud83e\udd2c Amen! Hope for revenge. This person should be<br>punished manslaughter.", "0.6322244421997089", "86.91588785046729"], ["Even at this level, rojo still manages to play god damn<br>awful. #MUFC", "0.6526007369607307", "87.25233644859813"], ["@user @user even if he says nothing, he'll still piss some<br>people off. He's gotta decide who he wants to make angry.", "0.6729770317217526", "87.51401869158879"], ["@user listen yh don't provoke me cos I'll make you cry", "0.6933533264827744", "87.92523364485982"], ["@user meden is frowning at you with her non existent face", "0.6975105023384094", "88.0"], ["Swear all of my guy friends are scaredy cats. You don't do<br>horror movies. You don't do haunted houses. Wtf do you do<br>then?", "0.7137296212437962", "88.37383177570094"], ["Don't chase fame\\nif you're going\\nto resent it\\nwhen it<br>starts\\nchasing you'\\nWRDSMTH", "0.734105916004818", "88.97196261682242"], ["@user &lt; took another sip. \u201cWe\u2019ve had some earth<br>shattering, soul exhilarating sex. You think black souls can<br>have that kind of &gt;", "0.7544822107658399", "89.30841121495327"], ["Today #wanking target: #Long #sexy #tongues\\nThat's my<br>#fetish - #long #yummy #tongue\\nIf any girl want,sent me<br>your tongue photo :) I love it", "0.7748585055268618", "89.57009345794393"], ["Bloody hell Pam, calm yourself down. But could have sworn<br>something black &amp; hairy just ran across the carpet,<br>#perilsoflivingalone", "0.7952348002878835", "89.90654205607477"], ["Damn I just walked up to the train station and I literally<br>died", "0.8062271714210508", "89.98130841121495"], ["I've been wanting salty fries from McDonald's since<br>yesterday and I'm burning my fingers eating them bc these<br>shits \ud83d\udd25\ud83d\udd25\ud83d\udd25", "0.8156110950489054", "90.16822429906541"], ["@user yessss waiting for an epi is for the birds. it sucks.<br>im waiting for walking dead new season\ud83d\ude29", "0.8359873898099273", "90.61682242990655"], ["Got a $20 tip from a drunk Uber passenger. Today I get a $25<br>parking ticket. I'd blame karma but my dumb ass forgot to<br>pay the meter.", "0.856363684570949", "91.14018691588785"], ["Worst juror ever? Michelle. You were Nicole's biggest<br>threat. #bitter #bb18", "0.8767399793319709", "91.81308411214954"], ["The wildest shit just happened at work I'm astounded", "0.8876272034645081", "92.0"], ["@user Yeah I've had that, l say hopefully you'll never get<br>it then you horrific waste of skin.", "0.8971162740929928", "92.22429906542057"], ["Caroline FFS shut this whinging \u2018Last Word Tom\u2019 up!! He is<br>unlikeable &amp; a smartass! His biases R boring! @user<br>@user", "0.9174925688540145", "92.71028037383178"], ["@user money grabbing and RUBBISH customer service!!! Rapids<br>shut but no reply to emails! #diabolical #CustomerService<br>#crap", "0.9378688636150364", "93.53271028037383"], ["@user you are a cruel, cruel man. #therewillbeblood", "0.9546356892585754", "93.98130841121495"], ["Swear I got the most playful ass bf ever \ud83d\ude02\ud83d\ude44", "0.9582451583760582", "94.35514018691589"], ["And all the bullshit in your live ends and nothing will<br>bother you ever again #depression", "0.97862145313708", "95.81308411214954"], ["@user don't tweet shit like this! It'll come back and haunt<br>you like your other ones \ud83d\ude2d\ud83d\ude02", "0.9805088543891908", "96.0"], ["How the fu*k! Who the heck! moved my fridge!... should I<br>knock the landlord door.  #mad ##", "0.9935983872413635", "97.98130841121495"], ["@user grim what the fuck going on with these dame fucking<br>clowns takeing the gameing channel if I had a way to nj I<br>would delete", "0.9989977478981018", "99.96261682242991"]], "fill": "tozeroy", "fillcolor": "rgba(179, 106, 106, 0.7)", "hovertemplate": "<b>Toxicity</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(179, 106, 106, 1)", "shape": "linear", "width": 5}, "name": "Lower Outliers", "x": [0.0005593046080321, 0.000655340657103748, 0.00071446975925932, 0.000761273186653824, 0.000827768179588004, 0.00089072203263632, 0.0009636617684736761, 0.001067786207422536, 0.0011542352940887041, 0.00126358211040496, 0.0014146715868263797, 0.001573133985511896, 0.001778351720422472, 0.002083999561145808, 0.00244780527427784, 0.002936502965167081, 0.00347569028846916, 0.004229471776634408, 0.005081056375056474, 0.006155036352574752, 0.007300002593547045, 0.008847604580223486, 0.010269183814525563, 0.01201357539743177, 0.014102986454963653, 0.0163109991699457, 0.01924849949777125, 0.020935599369053932, 0.022271705493330934, 0.026406342983245817, 0.03162506699562075, 0.03799674361944196, 0.041311894130075764, 0.04608248203992841, 0.054315923750400605, 0.061688188891097596, 0.06591677248477933, 0.07885540902614595, 0.08206448365211942, 0.09917682409286502, 0.10244077841314125, 0.11491833090782162, 0.12281707317416309, 0.14165741622447964, 0.14319336793518495, 0.16356966269620676, 0.17272350728511804, 0.18394595745722858, 0.20432225221825043, 0.22469854697927227, 0.2326927912235261, 0.2450748417402941, 0.2654511365013159, 0.2858274312623378, 0.292610502243042, 0.3062037260233596, 0.3265800207843814, 0.34695631554540324, 0.36733261030642506, 0.3813343203067787, 0.38770890506744693, 0.40808519982846875, 0.42846149458949057, 0.44883778935051244, 0.46921408411153426, 0.46921408411153426, 0.4895903788725561, 0.509966673633578, 0.5303429683945997, 0.5507192631556216, 0.5710955579166435, 0.5725873517990112, 0.5914718526776652, 0.6118481474386871, 0.6322244421997089, 0.6526007369607307, 0.6729770317217526, 0.6933533264827744, 0.6975105023384094, 0.7137296212437962, 0.734105916004818, 0.7544822107658399, 0.7748585055268618, 0.7952348002878835, 0.8062271714210508, 0.8156110950489054, 0.8359873898099273, 0.856363684570949, 0.8767399793319709, 0.8876272034645081, 0.8971162740929928, 0.9174925688540145, 0.9378688636150364, 0.9546356892585754, 0.9582451583760582, 0.97862145313708, 0.9805088543891908, 0.9935983872413635, 0.9989977478981018], "y": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "type": "scatter", "uid": "fe0d5d4b-8ff1-489a-8736-d56a96090589"}, {"customdata": [["You can clearly appreciate the sub-harmonics in both...-ONE\ud83d\udcaf-<br>\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\udc4d\ud83c\udfff", "0.0005593046080321", "0.0"], ["Been working in Blanchardstown shopping centre for over 2<br>years now and I only figured out today where Marks &amp;<br>Spencer's is #lost", "0.000655340657103748", "2.0186915887850465"], ["@user I've finished reading it; simply mind-blogging. The<br>writer said 'to be continued' but I haven't found part 2.<br>#depressing", "0.00071446975925932", "4.0"], ["Being in the countryside all day was so pleasing", "0.000761273186653824", "6.018691588785047"], ["Any #entrenepuers, #start ups, #SME's out there looking for<br>proactive #accountancy, #tax and #business advice? We can<br>help. Get in touch.", "0.000827768179588004", "8.0"], ["I like cycling because I get to intimidate people with my<br>powerful calves &amp; horrendous tan lines.", "0.00089072203263632", "10.018691588785046"], ["Am I the only one with parking sensors who still manages to<br>reverse into things?", "0.0009636617684736761", "12.0"], ["#nana 4 hoco bc my dream since freshman year awe \ud83d\ude19\u2764\u2764\u2764 @user", "0.001067786207422536", "14.018691588785046"], ["someone cheer me up", "0.0011542352940887041", "16.0"], ["@user @user \\nI like your thinking...but sadly no - that's<br>the shed \ud83d\ude22", "0.00126358211040496", "18.018691588785046"], ["@user We've had no foreign policy but have had goofy<br>Secretary of State John Kerry with his devil may care pose<br>and jaunty blue scarf.", "0.0014146715868263797", "20.0"], ["finally leaving my first job soon. i've been working here<br>since i was 16. going to be kind of bitter sweet", "0.001573133985511896", "22.018691588785046"], ["Listening to @user at work is my slice of sunshine in this<br>dreary cube world #9to5life", "0.001778351720422472", "24.0"], ["Day 1 tom \ud83d\ude31", "0.002083999561145808", "26.018691588785046"], ["@user let them know it's the #blues", "0.00244780527427784", "28.0"], ["I've never been happier. I'm laying awake as I watch @user<br>sleep. Thanks for making me happy again, babe.", "0.002936502965167081", "30.018691588785046"], ["I'm furious, wondering what happens after the latest 'Yep,<br>sounds pretty treasonous' scandal. At least calling Sens is<br>something we can DO.", "0.00347569028846916", "32.0"], ["@user doing the exact same minus the beer sadly", "0.004229471776634408", "34.018691588785046"], ["@user @user Ha. Right. I'm from San Jose, CA, and I was<br>offended right there with you. Dave, go on a walk or<br>something next time.", "0.005081056375056474", "36.0"], ["@user looking like @user in his heyday", "0.006155036352574752", "38.018691588785046"], ["I can't mourn Kid Cudi cause we have Travis Scott...", "0.007300002593547045", "40.0"], ["#Malaysian police arrest 4 people for suspected links to<br>#terrorism including three #foreigners\\n\\n#Malaysia", "0.008847604580223486", "42.018691588785046"], ["@user If you don't love yourself... Honesty is the best<br>policy", "0.010269183814525563", "44.0"], ["Unrealistic expectations attract disappointment. And that's<br>what you were #disappointment #sad", "0.01201357539743177", "46.018691588785046"], ["@user @user whatever Sam is holding on your tee looks like<br>it's got a droop on \ud83d\ude02", "0.014102986454963653", "48.0"], ["Today's gloomy weather reminded me that winter is coming and<br>then it'll be cold again for 7 months. #pessimist", "0.0163109991699457", "49.981308411214954"], ["@user Wow you don't read mine? #offended", "0.01924849949777125", "52.0"], ["@user @user @user you are so wrong for this!needed levity<br>after that recording", "0.020935599369053932", "53.12149532710281"], ["@user I'm feeling bad for the family dog.  #nightmare", "0.022271705493330934", "53.981308411214954"], ["Just died from laughter after seeing that\ud83d\ude02\ud83d\ude2d\ud83d\ude02\ud83d\ude2d", "0.026406342983245817", "56.0"], ["@user glee glee glee glee gLEE GLEE i LOST LOST LOST lowe<br>much", "0.03162506699562075", "57.981308411214954"], ["I feel like I am drowning. #depression  #falure #worthless", "0.03799674361944196", "60.0"], ["I CANT EVEN BREATHE IMM STILL ROLLIN UP THAT CHRONIC \ud83d\ude24", "0.041311894130075764", "60.78504672897196"], ["@user has providing customers w/equipment that doesn't<br>deliver speeds of internet services that they have been<br>charging.  #scam", "0.04608248203992841", "61.981308411214954"], ["@user against Chelsea anything is possible haha. I'm fuming<br>about that bet \ud83d\ude44\ud83d\ude44\ud83d\ude44\ud83d\ude44\ud83d\ude44\ud83d\ude44", "0.054315923750400605", "64.0"], ["I get so heated when I see people go to Thailand and post<br>pictures at places I KNOW animals are exploited and abused.<br>#fuming \ud83d\ude43", "0.061688188891097596", "65.08411214953271"], ["@user you got this\ud83d\udc99 #staystrong #smile #yourebeautiful", "0.06591677248477933", "65.98130841121495"], ["Yaaaaaaaaaaaas!!!! Scotty Sinclair #wonderful #magical", "0.07885540902614595", "68.0"], ["@user @user shocking work ethic by our players, Rooney<br>stifled by their laziness", "0.08206448365211942", "68.33644859813084"], ["When your friends want to go out drinking but you know you<br>gonna have to say no because social #anxiety runs your life", "0.09917682409286502", "69.98130841121495"], ["#Taurus, for the most part, you have perfect control over<br>your Emotions and you are careful not to be so sulky around<br>anyone!", "0.10244077841314125", "70.35514018691589"], ["Pakistan is the biggest victim of terrorism - Nawaz Sharif<br>\\nReally? It should have been biggest creator of terrorism.<br>#UNGA", "0.11491833090782162", "72.0"], ["Val having a nervous breakdown #floss #GBBO", "0.12281707317416309", "72.6355140186916"], ["r U scared to present in front of the class? severe<br>anxiety... whats That r u sad sometimes?? go get ur<br>depression checked out IMEDIATELY!!!", "0.14165741622447964", "73.98130841121495"], ["@user @user Horrid disease! My maternal grandmother and each<br>of her sisters suffered from this affliction. It's hard on<br>all.", "0.14319336793518495", "74.05607476635514"], ["@user #fear &amp; #anger are similar to what #Hitler<br>preached to come to power in Germany. Wake up America!!", "0.16356966269620676", "75.4766355140187"], ["my momma irritate me asking all these questions like gone \ud83d\ude24", "0.17272350728511804", "76.0"], ["@user decorations are up all over Jersey already #outrage", "0.18394595745722858", "76.5233644859813"], ["@user @user @user Shew. That was #awful", "0.20432225221825043", "77.1214953271028"], ["@user  NO greater wrath than a woman scorned.", "0.22469854697927227", "77.7196261682243"], ["@user please fire don lemon!!Do not let him report on<br>anymore  protest. He is #horrible #negative and runs away<br>from the issue at hand!", "0.2326927912235261", "77.98130841121495"], ["@user sad day Danny \ud83d\ude13you have been and still are a true<br>Leeds rhino you have been brilliant at the club I will miss<br>you", "0.2450748417402941", "78.46728971962617"], ["Democracy doesn't work\\n #mob #mentality #mass #hysteria <br>#mongering #oligarchy", "0.2654511365013159", "79.10280373831776"], ["Have you ever just cried, because you were in the middle of<br>some bomb rest and someone woke you up with an emergency.<br>#sleep #cry #kms #dead", "0.2858274312623378", "79.73831775700934"], ["Part of #danielhive #insecure i got you", "0.292610502243042", "80.0"], ["@user I'll be there!! Can't wait for all the #mirth!", "0.3062037260233596", "80.33644859813084"], ["i swear to god the worst drug is loving someone. physical<br>withdrawals aren't that bad, emotional withdrawals sting a<br>little more", "0.3265800207843814", "81.04672897196262"], ["@user I can't wait to hear what he had to say about the<br>brilliant Dr. Hawking... it should be rich... In the poorest<br>of taste! #bully", "0.34695631554540324", "81.34579439252336"], ["@user @user No empathetic and realistic, I know when enough<br>is enough unlike the rabid GOSH bashing mob.", "0.36733261030642506", "81.6822429906542"], ["@user she looks completely #rabid @user", "0.3813343203067787", "81.98130841121495"], ["All hell is breaking loose in Charlotte. #CharlotteProtest <br>#looting", "0.38770890506744693", "82.16822429906541"], ["@user you have anger issues!", "0.40808519982846875", "82.72897196261682"], ["Got paid to vacuum up rat poop. (-: never a dull day in the<br>biology department ...", "0.42846149458949057", "83.02803738317758"], ["I'M PISSED!! NOTHING HAPPENED DURING THE ECLIPSE!!<br>NOTHING!!!!  #party", "0.44883778935051244", "83.40186915887851"], ["I know I've painted quite a grim picture of your chances.<br>But if you simply stand here, we will both surely die.", "0.46921408411153426", "84.0"], ["I know I've painted quite a grim picture of your chances.<br>But if you simply stand here, we will both surely die.", "0.46921408411153426", "84.0"], ["All hell is breaking loose in Charlotte. #CharlotteProtest<br>#anger #looting", "0.4895903788725561", "84.37383177570094"], ["God knows why you'd wanna go with a girl who's slept with<br>half ya mates #grim", "0.509966673633578", "84.74766355140187"], ["@user quite simply the #worst #airline #worstairline I've<br>ever used!  #appauling  #dismal #beyondajoke #useless", "0.5303429683945997", "85.08411214953271"], ["@user  \\nSo when exactly did you lose your mind, pal?<br>\\n#Trump #fraud #misogynist #liar #psychopath #narcissist<br>#revolting #conartist", "0.5507192631556216", "85.34579439252336"], ["@user The worst customer service and lack of professionalism<br>from this service provider! #phoneprovider #badbusiness<br>#terrible", "0.5710955579166435", "85.90654205607477"], ["@user stand up to #sexism - let people #die for lack of<br>funds - but make sure you stand up against #sexism-are they<br>#mad in #Ludlow", "0.5725873517990112", "85.98130841121495"], ["Fake people irritate me", "0.5914718526776652", "86.09345794392523"], ["And to discriminate only generates hate\\nAnd when you hate<br>then you're bound to get irate,", "0.6118481474386871", "86.39252336448598"], ["@user \ud83d\udda4\ud83d\udda4\ud83d\ude2d\ud83e\udd2c Amen! Hope for revenge. This person should be<br>punished manslaughter.", "0.6322244421997089", "86.91588785046729"], ["Even at this level, rojo still manages to play god damn<br>awful. #MUFC", "0.6526007369607307", "87.25233644859813"], ["@user @user even if he says nothing, he'll still piss some<br>people off. He's gotta decide who he wants to make angry.", "0.6729770317217526", "87.51401869158879"], ["@user listen yh don't provoke me cos I'll make you cry", "0.6933533264827744", "87.92523364485982"], ["@user meden is frowning at you with her non existent face", "0.6975105023384094", "88.0"], ["Swear all of my guy friends are scaredy cats. You don't do<br>horror movies. You don't do haunted houses. Wtf do you do<br>then?", "0.7137296212437962", "88.37383177570094"], ["Don't chase fame\\nif you're going\\nto resent it\\nwhen it<br>starts\\nchasing you'\\nWRDSMTH", "0.734105916004818", "88.97196261682242"], ["@user &lt; took another sip. \u201cWe\u2019ve had some earth<br>shattering, soul exhilarating sex. You think black souls can<br>have that kind of &gt;", "0.7544822107658399", "89.30841121495327"], ["Today #wanking target: #Long #sexy #tongues\\nThat's my<br>#fetish - #long #yummy #tongue\\nIf any girl want,sent me<br>your tongue photo :) I love it", "0.7748585055268618", "89.57009345794393"], ["Bloody hell Pam, calm yourself down. But could have sworn<br>something black &amp; hairy just ran across the carpet,<br>#perilsoflivingalone", "0.7952348002878835", "89.90654205607477"], ["Damn I just walked up to the train station and I literally<br>died", "0.8062271714210508", "89.98130841121495"], ["I've been wanting salty fries from McDonald's since<br>yesterday and I'm burning my fingers eating them bc these<br>shits \ud83d\udd25\ud83d\udd25\ud83d\udd25", "0.8156110950489054", "90.16822429906541"], ["@user yessss waiting for an epi is for the birds. it sucks.<br>im waiting for walking dead new season\ud83d\ude29", "0.8359873898099273", "90.61682242990655"], ["Got a $20 tip from a drunk Uber passenger. Today I get a $25<br>parking ticket. I'd blame karma but my dumb ass forgot to<br>pay the meter.", "0.856363684570949", "91.14018691588785"], ["Worst juror ever? Michelle. You were Nicole's biggest<br>threat. #bitter #bb18", "0.8767399793319709", "91.81308411214954"], ["The wildest shit just happened at work I'm astounded", "0.8876272034645081", "92.0"], ["@user Yeah I've had that, l say hopefully you'll never get<br>it then you horrific waste of skin.", "0.8971162740929928", "92.22429906542057"], ["Caroline FFS shut this whinging \u2018Last Word Tom\u2019 up!! He is<br>unlikeable &amp; a smartass! His biases R boring! @user<br>@user", "0.9174925688540145", "92.71028037383178"], ["@user money grabbing and RUBBISH customer service!!! 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No, sorry was it too grim even for you?! It<br>disturbed me &amp; im starting to lose all trust in Twitter<br>generally!!", "0.006297411918640076", "2.0186915887850465"], ["#nana 4 hoco bc my dream since freshman year awe \ud83d\ude19\u2764\u2764\u2764 @user", "0.0076845312118529845", "4.0"], ["@user \ud83d\ude02\ud83d\ude02 i love ur angry comments", "0.01026014089584342", "6.018691588785047"], ["@user @user what did I do to offend you? \ud83d\ude44\ud83d\ude2d\ud83d\ude02", "0.013419766426086338", "8.0"], ["This the way I rage, \\n\\non sum wopstar shit \u2b50\ufe0f", "0.016788709163665743", "10.018691588785046"], ["@user  'out of his motherfucking mind'.... don't think<br>anyone could say it any better. #terrifying #biggestcrybabyi-<br>nhistory", "0.02168187379837034", "12.0"], ["My @user literally cracks me up when I see posts from 2<br>years ago and later \ud83d\ude02", "0.024494991010549035", "13.158878504672897"], ["Damn gud #premiere #LethalWeapon...#funny and", "0.02790735960006706", "14.018691588785046"], ["I miss my friends so badly \ud83d\ude22", "0.036468486785888654", "16.0"], ["Why do I get mad so easily \ud83d\ude10", "0.04324288368225094", "18.018691588785046"], ["@user dude the new madden 17? Haha", "0.04476228417182447", "18.46728971962617"], ["I graduated yesterday and already had 8 family members<br>asking what job I've got now \ud83d\ude02 #nightmare", "0.05255582332611076", "20.0"], ["Goodevening \ud83d\ude06", "0.061036853790283195", "22.018691588785046"], ["Chicks I don't even talk to look up to me. #flattered", "0.06502957733309991", "22.69158878504673"], ["4 years \ud83d\ude2drest in piece  #coreymontheith #glee", "0.07183809041976924", "24.0"], ["@user it ain't that serious. #HOUvsNE  #igotbetterthingstodo-<br>tonightthandie", "0.08169997930526726", "26.018691588785046"], ["God, I've been so physically weak the whole day. So much<br>shaking :(", "0.08529687049437534", "26.878504672897197"], ["#good to learning #wisdom &lt;&lt; reform (v): make in order<br>to improve something &gt;&gt;", "0.09008870363235467", "28.0"], ["Rooney ! Oh dear, oh dear ! Fucking dreadful \ud83d\ude48\u26bd\ufe0f\u26bd\ufe0f", "0.09903689622879025", "30.018691588785046"], ["Lol little things like that make me so angry x", "0.10556416365565077", "31.626168224299064"], ["@user @user hi Dom I saw u at Notts county away, looking for<br>1 mufc away ticket will pay #blues", "0.10675769090652464", "32.0"], ["@user Look at those teef! #growl", "0.1111481928825378", "34.018691588785046"], ["@user snap, seems to be a problem here", "0.11820287227630612", "36.0"], ["@user @user New campaign slogan idea...'I know you are but<br>what am I?'  #Trump2016 #yourefired #deflect", "0.12583145681692623", "37.90654205607477"], ["Nice Idea collect all relevant socialmedia in one-But dont<br>be automatic pls #worldsapp \u2b05\ufe0f #chirp #appsworld #socialmedi-<br>a @user merci\ud83c\udf88", "0.12655626773834222", "38.018691588785046"], ["@user   How dull.", "0.13237140178680415", "40.0"], ["my bls depress the blake", "0.13904300928115845", "42.018691588785046"], ["The Pats are awesome. Belichick is awesome ...they just are.<br>#awestruck", "0.1451472449302673", "44.0"], ["@user I have tried #PUR Mojito Lime mints They are<br>#delicious \ud83d\ude18Happy #NationalMojitoDay to all #contest #win<br>\u2705\ud83d\udc9a", "0.14609874997820166", "44.33644859813084"], ["I need a beer #irritated", "0.15179985046386713", "46.018691588785046"], ["Go follow #beautiful #Snowgang \u2665@Amynicolehill12 \u2665 #Princess<br>#fitness #bodyposi #haircut  #Whitegirlwednesday", "0.15990187883377077", "48.0"], ["@user @user that's what some rioters are doing", "0.1658885478973388", "49.981308411214954"], ["@user  shocking", "0.1663660431394771", "50.16822429906542"], ["Sometimes I get mad over something so minuscule I try to<br>ruin somebodies life not like lose your job like get you<br>into federal prison #anger", "0.17322780370712274", "52.0"], ["haww I think Nawaz should have spoken about Indian funding<br>to BLA in Balochistan, Kulbhoshan Yadhav and how India used<br>TTP for terror!", "0.18120486974716185", "53.981308411214954"], ["@user @user You mean the President Protector? The rabid<br>revolution sleeper agent gone rogue?", "0.18663333630075252", "55.4392523364486"], ["@user  is like the big bully in class ruining everyone's<br>lunch but instead of taking our lunch money they took away<br>family feud #bully", "0.1899507164955139", "56.0"], ["Mayweather's trash talking is on par with Nate Diaz<br>#terrible would love to see McGregor KO him #MayweatherVsMcG-<br>regor", "0.19805718421936036", "57.981308411214954"], ["@user Never a good experience at 919 E Fort Ave location. I<br>never learn because I love chipotle #terrible #badservice", "0.20690062946202795", "59.626168224299064"], ["3 hours of hell again. #anxiety. At this point I'm convinced<br>I'll never get an on site job again or play keyboards live.", "0.20893042087554917", "60.0"], ["@user He's still fuming over his massive failure at G19<br>meeting. The gravity of Junior's fuckup hasn't hit him,<br>yet.", "0.22100898027420038", "61.981308411214954"], ["@user #ldf16 what shall we do this weekend?  #spraypainting<br>in #greenwichmarket with @user #core246 #lilylou #fret &amp;<br>#benoakley", "0.2271679226233034", "62.80373831775701"], ["@user No offense, but isn't it a little late to be getting a<br>radio broadcast degree? Isn't that going to be over in a<br>decade or 2?", "0.23476536512374888", "64.0"], ["At least @user not turning up is not the most outrageous<br>thing at #F1Live #Kaiserchiefs", "0.24683090448379516", "65.98130841121495"], ["Condolences to the  JC and the Georges family.. #sad", "0.24743521578457883", "66.16822429906541"], ["That new Kask aero helmet is grim. Especially in yellow.<br>Looks like a safety hard hat ... #TDF #healthandsafety", "0.25859865188598646", "68.0"], ["All hell is breaking loose in Charlotte. #CharlotteProtest<br>#anger #looting", "0.2677025089458543", "69.60747663551402"], ["All hell is breaking loose in Charlotte. #CharlotteProtest <br>#looting", "0.27224473953247075", "69.98130841121495"], ["Trying to book holiday flights on @user website is becoming<br>a #nightmare", "0.2875189781188965", "72.0"], ["Sweet merciful crap that was some bad singing at the<br>#MLBAllStarGame tonight. Anthem and God Bless, both.<br>#wrongnotes #outoftune", "0.28796980210712975", "72.07476635514018"], ["People irritate my MF soul", "0.3008930015563964", "73.98130841121495"], ["Hell hath no fury like a late twenty something dude who's<br>concur for government session keeps expiring before he can<br>submit a form", "0.30823709526840515", "74.99065420560747"], ["Checked-in for my flight to Toronto. Took seat 3D just to<br>infuriate @user", "0.3166455936431885", "76.0"], ["@user #awful service at your Camden store yesterday.<br>Assistants thought it more important to put clothes on<br>hangers than serve.", "0.3285043884296806", "77.04672897196262"], ["no offense but the doctor crying tears of joy after<br>realizing he has a family for christmas is Cute", "0.3361936211585999", "77.98130841121495"], ["@user I'm feeling the exact same way. Also I read this in<br>Akon's voice, it provided me with a hearty chuckle", "0.34877168159095606", "78.91588785046729"], ["@user it can go one of two ways. You either get over it and<br>accept it, because it's not going to change, or you mope<br>about --", "0.3618761658668522", "80.0"], ["@user Eric couldn't help but laugh, though that made him<br>wince in pain. It hurt. A lot. He just wanted to sit down<br>somewhere \u2014", "0.36903897475223146", "80.5233644859813"], ["I see where Farrah gets her rudeness from. Her mother was as<br>horrible to Dr Drew tonight  as she was. These women need<br>help #TeenMomOG", "0.38560379505157494", "81.98130841121495"], ["People stealing things from my work out quite the damper on<br>my day so now I am going to wear pajamas all day", "0.3893062679135069", "82.35514018691589"], ["@user you have had from me over the years is irrelevant. Its<br>an absolute joke. #manutd #ticketing #fuming #noloyalty<br>#joke #notimpressed", "0.4095735610747823", "83.73831775700934"], ["I don't think it's fully sunk in that Val is gone yet", "0.41335047245025636", "84.0"], ["@user @user because there is a realistic probability that a<br>clown might be their next president. #clown #uspol", "0.4298408542360578", "85.04672897196262"], ["What makes you feel #joyful?", "0.44938650131225577", "85.98130841121495"], ["If you follow #Trump, a certified #bully there is no<br>question you or your children may go to #War vs consumate<br>#Diplomat @user", "0.45010814739733324", "86.01869158878505"], ["#Obama #DOJ have destroyed USA!These #CharlotteProtest are<br>acts of #terrorism dating back to #Ferguson Terrorism is how<br>it should be treated", "0.47037544055860864", "87.21495327102804"], ["i was angry.", "0.48968501091003386", "88.0"], ["A 'non-permissive environment' is also called a 'battlegroun-<br>d' - #MilSpeak", "0.5109100268811595", "88.5607476635514"], ["I told my chiropractor 'I'm here for a good time not a long<br>time' when he questioned my habits and yet again I have<br>unnerved a doctor", "0.5311773200424349", "89.38317757009345"], ["Let us not look back in anger or forward in fear, but around<br>in awareness. \u2013 James Thurber", "0.5509615063667296", "89.98130841121495"], ["@user [Reyes snarled in frustrated anger, steel claws<br>flexing dangerously. But she uttered those damning words, it<br>seems to snap --", "0.5717119063649858", "90.76635514018692"], ["Okay you've annoyed me, you haven't done a good job there at<br>all.", "0.5919791995262612", "91.51401869158879"], ["Maybe the entire Russian team will test positive for<br>meldonium and the North Americans will get to replace them", "0.6122464926875366", "91.88785046728972"], ["Jorge deserves it, honestly. He's weak. #revolting<br>#90dayfiance", "0.6150507974624634", "92.0"], ["sardonyx expresses herself through supporting the team with<br>your incredible yo-yo skills and depression okay", "0.6325137858488121", "92.22429906542057"], ["And 9/10 the character is a woman. Because if a man is fat<br>he's jovial. If a woman is fat she's useless and maybe evil<br>amirite?", "0.6527810790100875", "92.59813084112149"], ["gifs on iOS10 messaging app are hilarious.", "0.6730483721713629", "93.1588785046729"], ["AJ ends up being a terrible character, but no one in his<br>family ever actually speaks to him. He witnesses so much and<br>just gets sent away.", "0.6933156653326384", "93.45794392523365"], ["@user #Disney's 1994 #animated #musical #film #TheLionKing<br>was influenced by #WilliamShakespeare's #Hamlet. Songs by<br>#EltonJohn.", "0.7135829584939138", "93.79439252336448"], ["@user Where is your indignation and outrage over the UNARMED<br>DEAF WHITE man who was shot and killed by black officer in<br>CLT, NC?", "0.7223828029632569", "93.98130841121495"], ["#disgracefulesin I resent all men in some way; for some or<br>no reason at all. #esinscountdown", "0.7338502516551892", "94.16822429906541"], ["@user Thank you, happy birthday to you as well!", "0.7541175448164648", "94.57943925233644"], ["@user Thank you, happy birthday to you as well!", "0.7541175448164648", "94.57943925233644"], ["@user It's your party that has divided this nation.  You<br>inflame the minority population as well as pander.  You are<br>a disgrace.", "0.7743848379777402", "94.69158878504673"], ["The neighbor dancing in the Clayton Homes commercial is me.<br>#hilarious", "0.7946521311390156", "94.8411214953271"], ["Sorry to burst your bubble but it isn't that century<br>anymore. Welcome to the 21st century.", "0.814919424300291", "95.10280373831776"], ["#Taurus females are beautiful, sparkling jewels glowing in<br>the moonlight.", "0.8351867174615665", "95.4766355140187"], ["Robert called me to make sure I was awake for my night<br>class", "0.8554540106228419", "95.77570093457943"], ["*perusing the menu* I would like a green tea shake, please,<br>with no whipped cream, but dusted with matcha. And perhaps a<br>straw?", "0.8707726025581366", "96.0"], ["Trumpism likewise rests on a bed of racial resentment that<br>was made knowingly and intentionally, long before Trump got<br>into politics.", "0.8757213037841173", "96.14953271028037"], ["@user Thank you for the most fantastic evening, it was a<br>brilliant show, you are a truly #sparkling talent, night<br>over too quickly.", "0.8959885969453928", "96.41121495327103"], ["I might even be on the verge of depression.", "0.9162558901066682", "96.89719626168224"], ["@user keep your head clear an focused. Do not let T<br>intimidate you or use your children to silence you! Hate<br>when a man does that!", "0.9365231832679436", "97.30841121495327"], ["@user Get Donovan out of your soccer booth. He's awful. He's<br>bitter. He makes me want to mute the tv. #horrid", "0.9567904764292191", "97.53271028037383"], ["Am I the only one with parking sensors who still manages to<br>reverse into things?", "0.9706637907028197", "97.98130841121495"], ["I believe the work I do is meaningful; my clients would<br>agree but at the end of the day, I feel like a pawn, lost in<br>this chaotic world.", "0.9770577695904945", "98.20560747663552"], ["Its worth noting that despite the animosity between the US<br>president and the Israeli president they both behaved as<br>gentleman.", "0.99732506275177", "99.96261682242991"]], "fill": "tozeroy", "fillcolor": "rgba(105, 179, 162, 0.7)", "hovertemplate": "<b>Formality</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(105, 179, 162, 1)", "shape": "linear", "width": 5}, "name": "Common", "x": [0.0042276978492736, 0.006297411918640076, 0.0076845312118529845, 0.01026014089584342, 0.013419766426086338, 0.016788709163665743, 0.02168187379837034, 0.024494991010549035, 0.02790735960006706, 0.036468486785888654, 0.04324288368225094, 0.04476228417182447, 0.05255582332611076, 0.061036853790283195, 0.06502957733309991, 0.07183809041976924, 0.08169997930526726, 0.08529687049437534, 0.09008870363235467, 0.09903689622879025, 0.10556416365565077, 0.10675769090652464, 0.1111481928825378, 0.11820287227630612, 0.12583145681692623, 0.12655626773834222, 0.13237140178680415, 0.13904300928115845, 0.1451472449302673, 0.14609874997820166, 0.15179985046386713, 0.15990187883377077, 0.1658885478973388, 0.1663660431394771, 0.17322780370712274, 0.18120486974716185, 0.18663333630075252, 0.1899507164955139, 0.19805718421936036, 0.20690062946202795, 0.20893042087554917, 0.22100898027420038, 0.2271679226233034, 0.23476536512374888, 0.24683090448379516, 0.24743521578457883, 0.25859865188598646, 0.2677025089458543, 0.27224473953247075, 0.2875189781188965, 0.28796980210712975, 0.3008930015563964, 0.30823709526840515, 0.3166455936431885, 0.3285043884296806, 0.3361936211585999, 0.34877168159095606, 0.3618761658668522, 0.36903897475223146, 0.38560379505157494, 0.3893062679135069, 0.4095735610747823, 0.41335047245025636, 0.4298408542360578, 0.44938650131225577, 0.45010814739733324, 0.47037544055860864, 0.48968501091003386, 0.5109100268811595, 0.5311773200424349, 0.5509615063667296, 0.5717119063649858, 0.5919791995262612, 0.6122464926875366, 0.6150507974624634, 0.6325137858488121, 0.6527810790100875, 0.6730483721713629, 0.6933156653326384, 0.7135829584939138, 0.7223828029632569, 0.7338502516551892, 0.7541175448164648, 0.7541175448164648, 0.7743848379777402, 0.7946521311390156, 0.814919424300291, 0.8351867174615665, 0.8554540106228419, 0.8707726025581366, 0.8757213037841173, 0.8959885969453928, 0.9162558901066682, 0.9365231832679436, 0.9567904764292191, 0.9706637907028197, 0.9770577695904945, 0.99732506275177], "y": [1.7667679194363277, 1.803844062598074, 1.8283108546770546, 1.872878172488855, 1.925921952221803, 1.9803673140552518, 2.0553022779309598, 2.096053600497735, 2.143125434494423, 2.2495729308985344, 2.3219794140169223, 2.336811729004363, 2.405094661337961, 2.465462219297054, 2.4892716392438423, 2.523688708613518, 2.5611312680362417, 2.571491981357247, 2.582772833508561, 2.5965503674601744, 2.600850803888335, 2.601119772529524, 2.600728855603622, 2.5954994444056836, 2.5832856923185616, 2.5817616791848716, 2.567199610211999, 2.5452935020466074, 2.5203164413367922, 2.515997815820597, 2.4877398596949134, 2.440722922566721, 2.401076717944316, 2.397744874203787, 2.3472821251473968, 2.283135654079345, 2.2366502965015913, 2.2073056217851503, 2.133252985196528, 2.04992726120649, 2.0305950861240203, 1.9153708208850033, 1.8572001201825623, 1.786665364680281, 1.678458385909168, 1.6731792437175712, 1.578238563218281, 1.5044625374898613, 1.4688478267941683, 1.3545415986727638, 1.3512887261977626, 1.2607810179083505, 1.2116137151069362, 1.1572729802203543, 1.0841635553798836, 1.0389901772125125, 0.9689310331535216, 0.9009826813777747, 0.8659498969769243, 0.7902046793028903, 0.7742003396524642, 0.6917745353446837, 0.6772938297976197, 0.6170091498815268, 0.5517443966091278, 0.5494701676703366, 0.4899263110640455, 0.4415099278265199, 0.39754464491919217, 0.36287673574721646, 0.3333353796508138, 0.30455829687448155, 0.27774872419059454, 0.2527754674775681, 0.24952514118077096, 0.23064822612330554, 0.2117613478893831, 0.19555224794896608, 0.1810192223374695, 0.16758007847277434, 0.16214630288280354, 0.15561864675585557, 0.14637617276526851, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "type": "scatter", "uid": "08a65a40-416b-4753-b9e1-12e0b39907df"}, {"customdata": [["get u a goofy shorty w/ a big heart &amp; a anger problem..", "0.0042276978492736", "0.0"], ["@user haha!! No, sorry was it too grim even for you?! It<br>disturbed me &amp; im starting to lose all trust in Twitter<br>generally!!", "0.006297411918640076", "2.0186915887850465"], ["#nana 4 hoco bc my dream since freshman year awe \ud83d\ude19\u2764\u2764\u2764 @user", "0.0076845312118529845", "4.0"], ["@user \ud83d\ude02\ud83d\ude02 i love ur angry comments", "0.01026014089584342", "6.018691588785047"], ["@user @user what did I do to offend you? \ud83d\ude44\ud83d\ude2d\ud83d\ude02", "0.013419766426086338", "8.0"], ["This the way I rage, \\n\\non sum wopstar shit \u2b50\ufe0f", "0.016788709163665743", "10.018691588785046"], ["@user  'out of his motherfucking mind'.... don't think<br>anyone could say it any better. #terrifying #biggestcrybabyi-<br>nhistory", "0.02168187379837034", "12.0"], ["My @user literally cracks me up when I see posts from 2<br>years ago and later \ud83d\ude02", "0.024494991010549035", "13.158878504672897"], ["Damn gud #premiere #LethalWeapon...#funny and", "0.02790735960006706", "14.018691588785046"], ["I miss my friends so badly \ud83d\ude22", "0.036468486785888654", "16.0"], ["Why do I get mad so easily \ud83d\ude10", "0.04324288368225094", "18.018691588785046"], ["@user dude the new madden 17? Haha", "0.04476228417182447", "18.46728971962617"], ["I graduated yesterday and already had 8 family members<br>asking what job I've got now \ud83d\ude02 #nightmare", "0.05255582332611076", "20.0"], ["Goodevening \ud83d\ude06", "0.061036853790283195", "22.018691588785046"], ["Chicks I don't even talk to look up to me. #flattered", "0.06502957733309991", "22.69158878504673"], ["4 years \ud83d\ude2drest in piece  #coreymontheith #glee", "0.07183809041976924", "24.0"], ["@user it ain't that serious. #HOUvsNE  #igotbetterthingstodo-<br>tonightthandie", "0.08169997930526726", "26.018691588785046"], ["God, I've been so physically weak the whole day. So much<br>shaking :(", "0.08529687049437534", "26.878504672897197"], ["#good to learning #wisdom &lt;&lt; reform (v): make in order<br>to improve something &gt;&gt;", "0.09008870363235467", "28.0"], ["Rooney ! Oh dear, oh dear ! Fucking dreadful \ud83d\ude48\u26bd\ufe0f\u26bd\ufe0f", "0.09903689622879025", "30.018691588785046"], ["Lol little things like that make me so angry x", "0.10556416365565077", "31.626168224299064"], ["@user @user hi Dom I saw u at Notts county away, looking for<br>1 mufc away ticket will pay #blues", "0.10675769090652464", "32.0"], ["@user Look at those teef! #growl", "0.1111481928825378", "34.018691588785046"], ["@user snap, seems to be a problem here", "0.11820287227630612", "36.0"], ["@user @user New campaign slogan idea...'I know you are but<br>what am I?'  #Trump2016 #yourefired #deflect", "0.12583145681692623", "37.90654205607477"], ["Nice Idea collect all relevant socialmedia in one-But dont<br>be automatic pls #worldsapp \u2b05\ufe0f #chirp #appsworld #socialmedi-<br>a @user merci\ud83c\udf88", "0.12655626773834222", "38.018691588785046"], ["@user   How dull.", "0.13237140178680415", "40.0"], ["my bls depress the blake", "0.13904300928115845", "42.018691588785046"], ["The Pats are awesome. Belichick is awesome ...they just are.<br>#awestruck", "0.1451472449302673", "44.0"], ["@user I have tried #PUR Mojito Lime mints They are<br>#delicious \ud83d\ude18Happy #NationalMojitoDay to all #contest #win<br>\u2705\ud83d\udc9a", "0.14609874997820166", "44.33644859813084"], ["I need a beer #irritated", "0.15179985046386713", "46.018691588785046"], ["Go follow #beautiful #Snowgang \u2665@Amynicolehill12 \u2665 #Princess<br>#fitness #bodyposi #haircut  #Whitegirlwednesday", "0.15990187883377077", "48.0"], ["@user @user that's what some rioters are doing", "0.1658885478973388", "49.981308411214954"], ["@user  shocking", "0.1663660431394771", "50.16822429906542"], ["Sometimes I get mad over something so minuscule I try to<br>ruin somebodies life not like lose your job like get you<br>into federal prison #anger", "0.17322780370712274", "52.0"], ["haww I think Nawaz should have spoken about Indian funding<br>to BLA in Balochistan, Kulbhoshan Yadhav and how India used<br>TTP for terror!", "0.18120486974716185", "53.981308411214954"], ["@user @user You mean the President Protector? The rabid<br>revolution sleeper agent gone rogue?", "0.18663333630075252", "55.4392523364486"], ["@user  is like the big bully in class ruining everyone's<br>lunch but instead of taking our lunch money they took away<br>family feud #bully", "0.1899507164955139", "56.0"], ["Mayweather's trash talking is on par with Nate Diaz<br>#terrible would love to see McGregor KO him #MayweatherVsMcG-<br>regor", "0.19805718421936036", "57.981308411214954"], ["@user Never a good experience at 919 E Fort Ave location. I<br>never learn because I love chipotle #terrible #badservice", "0.20690062946202795", "59.626168224299064"], ["3 hours of hell again. #anxiety. At this point I'm convinced<br>I'll never get an on site job again or play keyboards live.", "0.20893042087554917", "60.0"], ["@user He's still fuming over his massive failure at G19<br>meeting. The gravity of Junior's fuckup hasn't hit him,<br>yet.", "0.22100898027420038", "61.981308411214954"], ["@user #ldf16 what shall we do this weekend?  #spraypainting<br>in #greenwichmarket with @user #core246 #lilylou #fret &amp;<br>#benoakley", "0.2271679226233034", "62.80373831775701"], ["@user No offense, but isn't it a little late to be getting a<br>radio broadcast degree? Isn't that going to be over in a<br>decade or 2?", "0.23476536512374888", "64.0"], ["At least @user not turning up is not the most outrageous<br>thing at #F1Live #Kaiserchiefs", "0.24683090448379516", "65.98130841121495"], ["Condolences to the  JC and the Georges family.. #sad", "0.24743521578457883", "66.16822429906541"], ["That new Kask aero helmet is grim. Especially in yellow.<br>Looks like a safety hard hat ... #TDF #healthandsafety", "0.25859865188598646", "68.0"], ["All hell is breaking loose in Charlotte. #CharlotteProtest<br>#anger #looting", "0.2677025089458543", "69.60747663551402"], ["All hell is breaking loose in Charlotte. #CharlotteProtest <br>#looting", "0.27224473953247075", "69.98130841121495"], ["Trying to book holiday flights on @user website is becoming<br>a #nightmare", "0.2875189781188965", "72.0"], ["Sweet merciful crap that was some bad singing at the<br>#MLBAllStarGame tonight. Anthem and God Bless, both.<br>#wrongnotes #outoftune", "0.28796980210712975", "72.07476635514018"], ["People irritate my MF soul", "0.3008930015563964", "73.98130841121495"], ["Hell hath no fury like a late twenty something dude who's<br>concur for government session keeps expiring before he can<br>submit a form", "0.30823709526840515", "74.99065420560747"], ["Checked-in for my flight to Toronto. Took seat 3D just to<br>infuriate @user", "0.3166455936431885", "76.0"], ["@user #awful service at your Camden store yesterday.<br>Assistants thought it more important to put clothes on<br>hangers than serve.", "0.3285043884296806", "77.04672897196262"], ["no offense but the doctor crying tears of joy after<br>realizing he has a family for christmas is Cute", "0.3361936211585999", "77.98130841121495"], ["@user I'm feeling the exact same way. Also I read this in<br>Akon's voice, it provided me with a hearty chuckle", "0.34877168159095606", "78.91588785046729"], ["@user it can go one of two ways. You either get over it and<br>accept it, because it's not going to change, or you mope<br>about --", "0.3618761658668522", "80.0"], ["@user Eric couldn't help but laugh, though that made him<br>wince in pain. It hurt. A lot. He just wanted to sit down<br>somewhere \u2014", "0.36903897475223146", "80.5233644859813"], ["I see where Farrah gets her rudeness from. Her mother was as<br>horrible to Dr Drew tonight  as she was. These women need<br>help #TeenMomOG", "0.38560379505157494", "81.98130841121495"], ["People stealing things from my work out quite the damper on<br>my day so now I am going to wear pajamas all day", "0.3893062679135069", "82.35514018691589"], ["@user you have had from me over the years is irrelevant. Its<br>an absolute joke. #manutd #ticketing #fuming #noloyalty<br>#joke #notimpressed", "0.4095735610747823", "83.73831775700934"], ["I don't think it's fully sunk in that Val is gone yet", "0.41335047245025636", "84.0"], ["@user @user because there is a realistic probability that a<br>clown might be their next president. #clown #uspol", "0.4298408542360578", "85.04672897196262"], ["What makes you feel #joyful?", "0.44938650131225577", "85.98130841121495"], ["If you follow #Trump, a certified #bully there is no<br>question you or your children may go to #War vs consumate<br>#Diplomat @user", "0.45010814739733324", "86.01869158878505"], ["#Obama #DOJ have destroyed USA!These #CharlotteProtest are<br>acts of #terrorism dating back to #Ferguson Terrorism is how<br>it should be treated", "0.47037544055860864", "87.21495327102804"], ["i was angry.", "0.48968501091003386", "88.0"], ["A 'non-permissive environment' is also called a 'battlegroun-<br>d' - #MilSpeak", "0.5109100268811595", "88.5607476635514"], ["I told my chiropractor 'I'm here for a good time not a long<br>time' when he questioned my habits and yet again I have<br>unnerved a doctor", "0.5311773200424349", "89.38317757009345"], ["Let us not look back in anger or forward in fear, but around<br>in awareness. \u2013 James Thurber", "0.5509615063667296", "89.98130841121495"], ["@user [Reyes snarled in frustrated anger, steel claws<br>flexing dangerously. But she uttered those damning words, it<br>seems to snap --", "0.5717119063649858", "90.76635514018692"], ["Okay you've annoyed me, you haven't done a good job there at<br>all.", "0.5919791995262612", "91.51401869158879"], ["Maybe the entire Russian team will test positive for<br>meldonium and the North Americans will get to replace them", "0.6122464926875366", "91.88785046728972"], ["Jorge deserves it, honestly. He's weak. #revolting<br>#90dayfiance", "0.6150507974624634", "92.0"], ["sardonyx expresses herself through supporting the team with<br>your incredible yo-yo skills and depression okay", "0.6325137858488121", "92.22429906542057"], ["And 9/10 the character is a woman. Because if a man is fat<br>he's jovial. If a woman is fat she's useless and maybe evil<br>amirite?", "0.6527810790100875", "92.59813084112149"], ["gifs on iOS10 messaging app are hilarious.", "0.6730483721713629", "93.1588785046729"], ["AJ ends up being a terrible character, but no one in his<br>family ever actually speaks to him. He witnesses so much and<br>just gets sent away.", "0.6933156653326384", "93.45794392523365"], ["@user #Disney's 1994 #animated #musical #film #TheLionKing<br>was influenced by #WilliamShakespeare's #Hamlet. Songs by<br>#EltonJohn.", "0.7135829584939138", "93.79439252336448"], ["@user Where is your indignation and outrage over the UNARMED<br>DEAF WHITE man who was shot and killed by black officer in<br>CLT, NC?", "0.7223828029632569", "93.98130841121495"], ["#disgracefulesin I resent all men in some way; for some or<br>no reason at all. #esinscountdown", "0.7338502516551892", "94.16822429906541"], ["@user Thank you, happy birthday to you as well!", "0.7541175448164648", "94.57943925233644"], ["@user Thank you, happy birthday to you as well!", "0.7541175448164648", "94.57943925233644"], ["@user It's your party that has divided this nation.  You<br>inflame the minority population as well as pander.  You are<br>a disgrace.", "0.7743848379777402", "94.69158878504673"], ["The neighbor dancing in the Clayton Homes commercial is me.<br>#hilarious", "0.7946521311390156", "94.8411214953271"], ["Sorry to burst your bubble but it isn't that century<br>anymore. Welcome to the 21st century.", "0.814919424300291", "95.10280373831776"], ["#Taurus females are beautiful, sparkling jewels glowing in<br>the moonlight.", "0.8351867174615665", "95.4766355140187"], ["Robert called me to make sure I was awake for my night<br>class", "0.8554540106228419", "95.77570093457943"], ["*perusing the menu* I would like a green tea shake, please,<br>with no whipped cream, but dusted with matcha. And perhaps a<br>straw?", "0.8707726025581366", "96.0"], ["Trumpism likewise rests on a bed of racial resentment that<br>was made knowingly and intentionally, long before Trump got<br>into politics.", "0.8757213037841173", "96.14953271028037"], ["@user Thank you for the most fantastic evening, it was a<br>brilliant show, you are a truly #sparkling talent, night<br>over too quickly.", "0.8959885969453928", "96.41121495327103"], ["I might even be on the verge of depression.", "0.9162558901066682", "96.89719626168224"], ["@user keep your head clear an focused. Do not let T<br>intimidate you or use your children to silence you! Hate<br>when a man does that!", "0.9365231832679436", "97.30841121495327"], ["@user Get Donovan out of your soccer booth. He's awful. He's<br>bitter. He makes me want to mute the tv. #horrid", "0.9567904764292191", "97.53271028037383"], ["Am I the only one with parking sensors who still manages to<br>reverse into things?", "0.9706637907028197", "97.98130841121495"], ["I believe the work I do is meaningful; my clients would<br>agree but at the end of the day, I feel like a pawn, lost in<br>this chaotic world.", "0.9770577695904945", "98.20560747663552"], ["Its worth noting that despite the animosity between the US<br>president and the Israeli president they both behaved as<br>gentleman.", "0.99732506275177", "99.96261682242991"]], "fill": "tozeroy", "fillcolor": "rgba(179, 106, 106, 0.7)", "hovertemplate": "<b>Formality</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(179, 106, 106, 1)", "shape": "linear", "width": 5}, "name": "Lower Outliers", "x": [0.0042276978492736, 0.006297411918640076, 0.0076845312118529845, 0.01026014089584342, 0.013419766426086338, 0.016788709163665743, 0.02168187379837034, 0.024494991010549035, 0.02790735960006706, 0.036468486785888654, 0.04324288368225094, 0.04476228417182447, 0.05255582332611076, 0.061036853790283195, 0.06502957733309991, 0.07183809041976924, 0.08169997930526726, 0.08529687049437534, 0.09008870363235467, 0.09903689622879025, 0.10556416365565077, 0.10675769090652464, 0.1111481928825378, 0.11820287227630612, 0.12583145681692623, 0.12655626773834222, 0.13237140178680415, 0.13904300928115845, 0.1451472449302673, 0.14609874997820166, 0.15179985046386713, 0.15990187883377077, 0.1658885478973388, 0.1663660431394771, 0.17322780370712274, 0.18120486974716185, 0.18663333630075252, 0.1899507164955139, 0.19805718421936036, 0.20690062946202795, 0.20893042087554917, 0.22100898027420038, 0.2271679226233034, 0.23476536512374888, 0.24683090448379516, 0.24743521578457883, 0.25859865188598646, 0.2677025089458543, 0.27224473953247075, 0.2875189781188965, 0.28796980210712975, 0.3008930015563964, 0.30823709526840515, 0.3166455936431885, 0.3285043884296806, 0.3361936211585999, 0.34877168159095606, 0.3618761658668522, 0.36903897475223146, 0.38560379505157494, 0.3893062679135069, 0.4095735610747823, 0.41335047245025636, 0.4298408542360578, 0.44938650131225577, 0.45010814739733324, 0.47037544055860864, 0.48968501091003386, 0.5109100268811595, 0.5311773200424349, 0.5509615063667296, 0.5717119063649858, 0.5919791995262612, 0.6122464926875366, 0.6150507974624634, 0.6325137858488121, 0.6527810790100875, 0.6730483721713629, 0.6933156653326384, 0.7135829584939138, 0.7223828029632569, 0.7338502516551892, 0.7541175448164648, 0.7541175448164648, 0.7743848379777402, 0.7946521311390156, 0.814919424300291, 0.8351867174615665, 0.8554540106228419, 0.8707726025581366, 0.8757213037841173, 0.8959885969453928, 0.9162558901066682, 0.9365231832679436, 0.9567904764292191, 0.9706637907028197, 0.9770577695904945, 0.99732506275177], "y": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "type": "scatter", "uid": "08b04ad4-8255-449c-aab7-c1675c8bf073"}, {"customdata": [["get u a goofy shorty w/ a big heart &amp; a anger problem..", "0.0042276978492736", "0.0"], ["@user haha!! No, sorry was it too grim even for you?! It<br>disturbed me &amp; im starting to lose all trust in Twitter<br>generally!!", "0.006297411918640076", "2.0186915887850465"], ["#nana 4 hoco bc my dream since freshman year awe \ud83d\ude19\u2764\u2764\u2764 @user", "0.0076845312118529845", "4.0"], ["@user \ud83d\ude02\ud83d\ude02 i love ur angry comments", "0.01026014089584342", "6.018691588785047"], ["@user @user what did I do to offend you? \ud83d\ude44\ud83d\ude2d\ud83d\ude02", "0.013419766426086338", "8.0"], ["This the way I rage, \\n\\non sum wopstar shit \u2b50\ufe0f", "0.016788709163665743", "10.018691588785046"], ["@user  'out of his motherfucking mind'.... don't think<br>anyone could say it any better. #terrifying #biggestcrybabyi-<br>nhistory", "0.02168187379837034", "12.0"], ["My @user literally cracks me up when I see posts from 2<br>years ago and later \ud83d\ude02", "0.024494991010549035", "13.158878504672897"], ["Damn gud #premiere #LethalWeapon...#funny and", "0.02790735960006706", "14.018691588785046"], ["I miss my friends so badly \ud83d\ude22", "0.036468486785888654", "16.0"], ["Why do I get mad so easily \ud83d\ude10", "0.04324288368225094", "18.018691588785046"], ["@user dude the new madden 17? Haha", "0.04476228417182447", "18.46728971962617"], ["I graduated yesterday and already had 8 family members<br>asking what job I've got now \ud83d\ude02 #nightmare", "0.05255582332611076", "20.0"], ["Goodevening \ud83d\ude06", "0.061036853790283195", "22.018691588785046"], ["Chicks I don't even talk to look up to me. #flattered", "0.06502957733309991", "22.69158878504673"], ["4 years \ud83d\ude2drest in piece  #coreymontheith #glee", "0.07183809041976924", "24.0"], ["@user it ain't that serious. #HOUvsNE  #igotbetterthingstodo-<br>tonightthandie", "0.08169997930526726", "26.018691588785046"], ["God, I've been so physically weak the whole day. So much<br>shaking :(", "0.08529687049437534", "26.878504672897197"], ["#good to learning #wisdom &lt;&lt; reform (v): make in order<br>to improve something &gt;&gt;", "0.09008870363235467", "28.0"], ["Rooney ! Oh dear, oh dear ! Fucking dreadful \ud83d\ude48\u26bd\ufe0f\u26bd\ufe0f", "0.09903689622879025", "30.018691588785046"], ["Lol little things like that make me so angry x", "0.10556416365565077", "31.626168224299064"], ["@user @user hi Dom I saw u at Notts county away, looking for<br>1 mufc away ticket will pay #blues", "0.10675769090652464", "32.0"], ["@user Look at those teef! #growl", "0.1111481928825378", "34.018691588785046"], ["@user snap, seems to be a problem here", "0.11820287227630612", "36.0"], ["@user @user New campaign slogan idea...'I know you are but<br>what am I?'  #Trump2016 #yourefired #deflect", "0.12583145681692623", "37.90654205607477"], ["Nice Idea collect all relevant socialmedia in one-But dont<br>be automatic pls #worldsapp \u2b05\ufe0f #chirp #appsworld #socialmedi-<br>a @user merci\ud83c\udf88", "0.12655626773834222", "38.018691588785046"], ["@user   How dull.", "0.13237140178680415", "40.0"], ["my bls depress the blake", "0.13904300928115845", "42.018691588785046"], ["The Pats are awesome. Belichick is awesome ...they just are.<br>#awestruck", "0.1451472449302673", "44.0"], ["@user I have tried #PUR Mojito Lime mints They are<br>#delicious \ud83d\ude18Happy #NationalMojitoDay to all #contest #win<br>\u2705\ud83d\udc9a", "0.14609874997820166", "44.33644859813084"], ["I need a beer #irritated", "0.15179985046386713", "46.018691588785046"], ["Go follow #beautiful #Snowgang \u2665@Amynicolehill12 \u2665 #Princess<br>#fitness #bodyposi #haircut  #Whitegirlwednesday", "0.15990187883377077", "48.0"], ["@user @user that's what some rioters are doing", "0.1658885478973388", "49.981308411214954"], ["@user  shocking", "0.1663660431394771", "50.16822429906542"], ["Sometimes I get mad over something so minuscule I try to<br>ruin somebodies life not like lose your job like get you<br>into federal prison #anger", "0.17322780370712274", "52.0"], ["haww I think Nawaz should have spoken about Indian funding<br>to BLA in Balochistan, Kulbhoshan Yadhav and how India used<br>TTP for terror!", "0.18120486974716185", "53.981308411214954"], ["@user @user You mean the President Protector? The rabid<br>revolution sleeper agent gone rogue?", "0.18663333630075252", "55.4392523364486"], ["@user  is like the big bully in class ruining everyone's<br>lunch but instead of taking our lunch money they took away<br>family feud #bully", "0.1899507164955139", "56.0"], ["Mayweather's trash talking is on par with Nate Diaz<br>#terrible would love to see McGregor KO him #MayweatherVsMcG-<br>regor", "0.19805718421936036", "57.981308411214954"], ["@user Never a good experience at 919 E Fort Ave location. I<br>never learn because I love chipotle #terrible #badservice", "0.20690062946202795", "59.626168224299064"], ["3 hours of hell again. #anxiety. At this point I'm convinced<br>I'll never get an on site job again or play keyboards live.", "0.20893042087554917", "60.0"], ["@user He's still fuming over his massive failure at G19<br>meeting. The gravity of Junior's fuckup hasn't hit him,<br>yet.", "0.22100898027420038", "61.981308411214954"], ["@user #ldf16 what shall we do this weekend?  #spraypainting<br>in #greenwichmarket with @user #core246 #lilylou #fret &amp;<br>#benoakley", "0.2271679226233034", "62.80373831775701"], ["@user No offense, but isn't it a little late to be getting a<br>radio broadcast degree? Isn't that going to be over in a<br>decade or 2?", "0.23476536512374888", "64.0"], ["At least @user not turning up is not the most outrageous<br>thing at #F1Live #Kaiserchiefs", "0.24683090448379516", "65.98130841121495"], ["Condolences to the  JC and the Georges family.. #sad", "0.24743521578457883", "66.16822429906541"], ["That new Kask aero helmet is grim. Especially in yellow.<br>Looks like a safety hard hat ... #TDF #healthandsafety", "0.25859865188598646", "68.0"], ["All hell is breaking loose in Charlotte. #CharlotteProtest<br>#anger #looting", "0.2677025089458543", "69.60747663551402"], ["All hell is breaking loose in Charlotte. #CharlotteProtest <br>#looting", "0.27224473953247075", "69.98130841121495"], ["Trying to book holiday flights on @user website is becoming<br>a #nightmare", "0.2875189781188965", "72.0"], ["Sweet merciful crap that was some bad singing at the<br>#MLBAllStarGame tonight. Anthem and God Bless, both.<br>#wrongnotes #outoftune", "0.28796980210712975", "72.07476635514018"], ["People irritate my MF soul", "0.3008930015563964", "73.98130841121495"], ["Hell hath no fury like a late twenty something dude who's<br>concur for government session keeps expiring before he can<br>submit a form", "0.30823709526840515", "74.99065420560747"], ["Checked-in for my flight to Toronto. Took seat 3D just to<br>infuriate @user", "0.3166455936431885", "76.0"], ["@user #awful service at your Camden store yesterday.<br>Assistants thought it more important to put clothes on<br>hangers than serve.", "0.3285043884296806", "77.04672897196262"], ["no offense but the doctor crying tears of joy after<br>realizing he has a family for christmas is Cute", "0.3361936211585999", "77.98130841121495"], ["@user I'm feeling the exact same way. Also I read this in<br>Akon's voice, it provided me with a hearty chuckle", "0.34877168159095606", "78.91588785046729"], ["@user it can go one of two ways. You either get over it and<br>accept it, because it's not going to change, or you mope<br>about --", "0.3618761658668522", "80.0"], ["@user Eric couldn't help but laugh, though that made him<br>wince in pain. It hurt. A lot. He just wanted to sit down<br>somewhere \u2014", "0.36903897475223146", "80.5233644859813"], ["I see where Farrah gets her rudeness from. Her mother was as<br>horrible to Dr Drew tonight  as she was. These women need<br>help #TeenMomOG", "0.38560379505157494", "81.98130841121495"], ["People stealing things from my work out quite the damper on<br>my day so now I am going to wear pajamas all day", "0.3893062679135069", "82.35514018691589"], ["@user you have had from me over the years is irrelevant. Its<br>an absolute joke. #manutd #ticketing #fuming #noloyalty<br>#joke #notimpressed", "0.4095735610747823", "83.73831775700934"], ["I don't think it's fully sunk in that Val is gone yet", "0.41335047245025636", "84.0"], ["@user @user because there is a realistic probability that a<br>clown might be their next president. #clown #uspol", "0.4298408542360578", "85.04672897196262"], ["What makes you feel #joyful?", "0.44938650131225577", "85.98130841121495"], ["If you follow #Trump, a certified #bully there is no<br>question you or your children may go to #War vs consumate<br>#Diplomat @user", "0.45010814739733324", "86.01869158878505"], ["#Obama #DOJ have destroyed USA!These #CharlotteProtest are<br>acts of #terrorism dating back to #Ferguson Terrorism is how<br>it should be treated", "0.47037544055860864", "87.21495327102804"], ["i was angry.", "0.48968501091003386", "88.0"], ["A 'non-permissive environment' is also called a 'battlegroun-<br>d' - #MilSpeak", "0.5109100268811595", "88.5607476635514"], ["I told my chiropractor 'I'm here for a good time not a long<br>time' when he questioned my habits and yet again I have<br>unnerved a doctor", "0.5311773200424349", "89.38317757009345"], ["Let us not look back in anger or forward in fear, but around<br>in awareness. \u2013 James Thurber", "0.5509615063667296", "89.98130841121495"], ["@user [Reyes snarled in frustrated anger, steel claws<br>flexing dangerously. But she uttered those damning words, it<br>seems to snap --", "0.5717119063649858", "90.76635514018692"], ["Okay you've annoyed me, you haven't done a good job there at<br>all.", "0.5919791995262612", "91.51401869158879"], ["Maybe the entire Russian team will test positive for<br>meldonium and the North Americans will get to replace them", "0.6122464926875366", "91.88785046728972"], ["Jorge deserves it, honestly. He's weak. #revolting<br>#90dayfiance", "0.6150507974624634", "92.0"], ["sardonyx expresses herself through supporting the team with<br>your incredible yo-yo skills and depression okay", "0.6325137858488121", "92.22429906542057"], ["And 9/10 the character is a woman. Because if a man is fat<br>he's jovial. If a woman is fat she's useless and maybe evil<br>amirite?", "0.6527810790100875", "92.59813084112149"], ["gifs on iOS10 messaging app are hilarious.", "0.6730483721713629", "93.1588785046729"], ["AJ ends up being a terrible character, but no one in his<br>family ever actually speaks to him. He witnesses so much and<br>just gets sent away.", "0.6933156653326384", "93.45794392523365"], ["@user #Disney's 1994 #animated #musical #film #TheLionKing<br>was influenced by #WilliamShakespeare's #Hamlet. Songs by<br>#EltonJohn.", "0.7135829584939138", "93.79439252336448"], ["@user Where is your indignation and outrage over the UNARMED<br>DEAF WHITE man who was shot and killed by black officer in<br>CLT, NC?", "0.7223828029632569", "93.98130841121495"], ["#disgracefulesin I resent all men in some way; for some or<br>no reason at all. #esinscountdown", "0.7338502516551892", "94.16822429906541"], ["@user Thank you, happy birthday to you as well!", "0.7541175448164648", "94.57943925233644"], ["@user Thank you, happy birthday to you as well!", "0.7541175448164648", "94.57943925233644"], ["@user It's your party that has divided this nation.  You<br>inflame the minority population as well as pander.  You are<br>a disgrace.", "0.7743848379777402", "94.69158878504673"], ["The neighbor dancing in the Clayton Homes commercial is me.<br>#hilarious", "0.7946521311390156", "94.8411214953271"], ["Sorry to burst your bubble but it isn't that century<br>anymore. Welcome to the 21st century.", "0.814919424300291", "95.10280373831776"], ["#Taurus females are beautiful, sparkling jewels glowing in<br>the moonlight.", "0.8351867174615665", "95.4766355140187"], ["Robert called me to make sure I was awake for my night<br>class", "0.8554540106228419", "95.77570093457943"], ["*perusing the menu* I would like a green tea shake, please,<br>with no whipped cream, but dusted with matcha. And perhaps a<br>straw?", "0.8707726025581366", "96.0"], ["Trumpism likewise rests on a bed of racial resentment that<br>was made knowingly and intentionally, long before Trump got<br>into politics.", "0.8757213037841173", "96.14953271028037"], ["@user Thank you for the most fantastic evening, it was a<br>brilliant show, you are a truly #sparkling talent, night<br>over too quickly.", "0.8959885969453928", "96.41121495327103"], ["I might even be on the verge of depression.", "0.9162558901066682", "96.89719626168224"], ["@user keep your head clear an focused. Do not let T<br>intimidate you or use your children to silence you! Hate<br>when a man does that!", "0.9365231832679436", "97.30841121495327"], ["@user Get Donovan out of your soccer booth. He's awful. He's<br>bitter. He makes me want to mute the tv. #horrid", "0.9567904764292191", "97.53271028037383"], ["Am I the only one with parking sensors who still manages to<br>reverse into things?", "0.9706637907028197", "97.98130841121495"], ["I believe the work I do is meaningful; my clients would<br>agree but at the end of the day, I feel like a pawn, lost in<br>this chaotic world.", "0.9770577695904945", "98.20560747663552"], ["Its worth noting that despite the animosity between the US<br>president and the Israeli president they both behaved as<br>gentleman.", "0.99732506275177", "99.96261682242991"]], "fill": "tozeroy", "fillcolor": "rgba(179, 106, 106, 0.7)", "hovertemplate": "<b>Formality</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(179, 106, 106, 1)", "shape": "linear", "width": 5}, "name": "Upper Outliers", "x": [0.0042276978492736, 0.006297411918640076, 0.0076845312118529845, 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"-0.9591836734693877", "3.4018691588785046"], ["@user you have anger issues!", "-0.8775510204081632", "3.4766355140186915"], ["@user you have anger issues!", "-0.8775510204081632", "3.4766355140186915"], ["Rooneys fucking untouchable isn't he? Been fucking dreadful<br>again, depay has looked decent(ish)tonight", "-0.8367346938775511", "3.6261682242990654"], ["@user @user sorry to #offend u griffin!!", "-0.7959183673469388", "4.411214953271028"], ["@user broadband is shocking regretting signing up now #angry<br>#shouldofgonewithvirgin", "-0.7551020408163265", "4.485981308411215"], ["Yo Yo Yo,my name is #DarthVader \\nI feel like I need to puff<br>on my inhaler (I'm no rapper but that was some sick bars)<br>#breathless #bars #rap", "-0.7142857142857143", "5.196261682242991"], ["Nothing worse than an uber driver that can't drive. #awful", "-0.7", "5.308411214953271"], ["@user it ain't that serious. #HOUvsNE #awful #igotbetterthin-<br>gstodotonightthandie", "-0.6734693877551021", "6.616822429906542"], ["@user holy shit...what the hell happened to your lips!! Fix<br>that shit! #mtv #teenmom #horrible", "-0.6326530612244898", "7.140186915887851"], ["@user @user @user \\n\\nAnd also, trying to find it on Youtube<br>is a fucking nightmare.", "-0.6", "7.588785046728972"], ["@user Worst than going to the morgue to do a positive ID.<br>#horrible Reuters", "-0.5918367346938775", "8.897196261682243"], ["Worst juror ever? Michelle. You were Nicole's biggest<br>threat. #bitter #bb18", "-0.5510204081632654", "9.42056074766355"], ["@user @user My guess is he's just a convenient target for<br>misplaced anger.  What they're really mad at is how they<br>played.", "-0.5116666666666665", "10.018691588785046"], ["@user I so wish you could someday come to Spain with the<br>play, I can't believe I'm not going to see it #sad", "-0.5", "10.093457943925234"], ["@user @user USA was embarrassing to watch. When was the last<br>time you guys won a game..? #horrible #joke", "-0.4693877551020409", "13.906542056074766"], ["I feel bad for people who don't understand my sarcasm. They<br>think I'm mean, but really I'm hysterical &amp; they don't<br>realize it. #sad #funny", "-0.4544555555555556", "14.018691588785046"], ["@user horrible service. EWR. Not a cloud in the sky. Normal<br>departure at 10am now leaving at 5pm. Crappy #UnitedAirline-<br>s", "-0.4285714285714286", "14.766355140186915"], ["broken policy' #blasio &lt;&gt; #trump #giuliani 'broken<br>windows' all part of 'pecking order' #bully politics<br>#america RESIST #motto", "-0.4", "15.36448598130841"], ["Sweet merciful crap that was some bad singing at the<br>#MLBAllStarGame tonight. Anthem and God Bless, both.<br>#wrongnotes #outoftune", "-0.3877551020408164", "17.121495327102803"], ["@user spent over 2 fucking hours and still can't get that<br>dam SIVA fragment on Fellwinters peak mountain", "-0.35", "17.869158878504674"], ["@user she's pathetic!!! Hated Nicole for being cute &amp;<br>having a showmance &amp; she couldn't get one! #bitter<br>#uglycry #BBMichelle \ud83d\ude16", "-0.34693877551020413", "18.35514018691589"], ["@user just trying to go home tonight? A run on 2nd and 20<br>and a run on 3rd and 20? That's what champs do...#sike<br>#losers #terrible", "-0.30612244897959184", "19.962616822429908"], ["Have to say that third City kit is fucking awful. Someone at<br>Nike wants shooting.", "-0.2666666666666666", "21.981308411214954"], ["Don't join @user they put the phone down on you, talk over<br>you and are rude. Taking money out of my acc willynilly!", "-0.26530612244897966", "22.2803738317757"], ["Instagram seriously sort your sh*t out. I spent ages writing<br>that caption for you to delete it and not post it!! #fume<br>#instagram", "-0.2447916666666666", "23.962616822429908"], ["In 2016, Black people are STILL fighting to be recognized as<br>human beings. #cantsleep #angry", "-0.22448979591836737", "24.635514018691588"], ["Why have I only just started watching glee this week I am<br>now addicted \ud83d\ude44 #glee #GLEEK", "-0.2", "25.19626168224299"], ["Romero is fucking dreadful like seriously my 11 month old is<br>better than him.", "-0.1836734693877552", "27.102803738317757"], ["@user I'm wearing all black tomorrow to mourn. \ud83d\ude2d\ud83d\udc94", "-0.1666666666666666", "27.77570093457944"], ["There's a certain hilarity in people angry at protests<br>against the national anthem or the flag when these acts are<br>covered by 1st Amendment.", "-0.1428571428571429", "29.906542056074766"], ["@user And who asked you to gate crash with your dumb<br>idiosyncrasies when sober people are analyzing a situation!\\-<br>n@BanoBee @user", "-0.1375", "29.981308411214954"], ["I don't want the pity of my instructors but I'd like some<br>understanding. I'm truly trying despite ALL circumstances<br>that make me discouraged", "-0.10204081632653073", "31.77570093457944"], ["I'm girly in the sense that I always have lashes &amp; nails<br>done but tomboy in the sense that black is my only color<br>&amp; refuse the ruffle life", "-0.08683333333333298", "34.018691588785046"], ["How's it possible to go from cheery earlier to the worst<br>mood possible now\ud83d\ude44", "-0.061224489795918435", "35.850467289719624"], ["Trumpism likewise rests on a bed of racial resentment that<br>was made knowingly and intentionally, long before Trump got<br>into politics.", "-0.0509818181818179", "36.0"], ["@user I can't have alcohol on it, sadly, but it only flares<br>up under very specific circumstances so I just need to be<br>more careful", "-0.020408163265306145", "37.7196261682243"], ["@user I skip anything below 718 score tbh. Finding other<br>fully SI horse teams is fun though, I added a few through<br>arena. \ud83e\udd23", "-0.0083333333333333", "37.981308411214954"], ["No but that's so cute. Atsu was probably shy about photos<br>before but cherry helped her out uwu", "0.0", "38.09345794392523"], ["I loved you even when everyone told me it was a bad choice \ud83d\ude15<br>#wish #you #stayed #away", "5.107025913276124e-17", "65.98130841121495"], ["@user I knew you were going to do that. I would definitely<br>buy if I didn't live in Texas where you can't play DFS. ...<br>so depress", "0.020408163265306145", "66.46728971962617"], ["Everything is far away because time is short, no rest for<br>the weary.", "0.04999999999999993", "68.0"], ["i cant live anymore my roblox got termianted :((((((((((((((-<br>((((((((((  #killme #lol #robloxgamer", "0.06122448979591821", "68.67289719626169"], ["Sounds like Donald Trump has spent today just making extra,<br>extra sure he'd get those frightened white, conservative,<br>racist votes.", "0.07983333333333348", "69.98130841121495"], ["@user I remember its heyday, but these ladies range in age<br>from, I'd say, mid-30s to early 70s.", "0.1", "70.99065420560747"], ["Just wish I was appreciated for all I do! When is it my turn<br>to be taken care of!! I want a break!! #tired #lost", "0.1020408163265305", "72.85981308411215"], ["@user Old age?! No hope for the rest of us. Destined to<br>become deatheaters by 50 #nightmare", "0.125", "73.57009345794393"], ["to shake and my mouth was chattering and I couldn't take<br>right because all of my body was trembling so I went<br>outside", "0.1428571428571428", "75.21495327102804"], ["Dating a skinny girl is fun though, anytime you get bored<br>you start counting her ribs and measuring her spinal cord!<br>#happy", "0.15675", "76.0"], ["@user @user had more fun than the funniest person in<br>funsville..... Much hilarity as usual.... Thank you \u2764\ufe0f", "0.18367346938775508", "77.1588785046729"], ["Puzzle investing opening portland feodal population is<br>correlative straight a snorting infuriate: XLzjYhG", "0.2", "77.79439252336448"], ["Stoked that the concept of 'label exclusivity' is becoming<br>faux pas. Always believed it held artists back while<br>creating label distrust", "0.22448979591836715", "80.5233644859813"], ["Rewatching 'Raising Hope' (with hubs this time) and totally<br>forgot how hilarious it is \ud83d\ude02 #HereWeGo", "0.25", "81.27102803738318"], ["Every year I go to universal studios to horror nights as a<br>3rd wheel lol \ud83d\ude0a\ud83d\ude02", "0.26530612244897944", "83.28971962616822"], ["Scared to leave the routine but excited to break out the<br>mould \ud83d\ude16 #scared #confused #happy #undecided #excited", "0.28600000000000053", "84.0"], ["@user Electro Set was pure enjoyment &amp; exhilarating,<br>captivating, &amp; Poetic, Raw, exciting ..,", "0.30612244897959173", "84.93457943925233"], ["@user is the live event Brock vs Orton 2 this Saturday on<br>the WWE Network? If not it needs to be! :) #wwe @user @user<br>#revenge", "0.3350811688311688", "85.98130841121495"], ["@user \\n'It's alright!' She said cheerfully trying to make<br>the moment fun", "0.346938775510204", "86.13084112149532"], ["LOL! @user was just awarded the \u201cF\u201d bomb trophy on<br>#AutoDealerLive, @user :) #serious", "0.3877551020408163", "87.85046728971963"], ["@user @user yeah, they figured that ornaments are way more<br>wanted than spektar and desolate gear. Well they thought<br>right.", "0.3918095238095236", "88.0"], ["@user looking back on recent tweets seen, this one right<br>here is great #perfect #hilarious #Speechless #deal", "0.4285714285714284", "89.53271028037383"], ["AQW should've always stayed in the 08 art style, now it's<br>just a competition to create more detailed art each time.", "0.45", "89.94392523364486"], ["And my mind and my soul. Who made him substitute for my<br>brothers and near me for all the beautiful days and I found<br>you lost and grabbed", "0.46938775510204067", "90.57943925233644"], ["@user you look adorable awe", "0.5", "90.80373831775701"], ["She used to be beautiful, but she lived her life too fast -<br>Forest City Joe #blues #blinddogradio", "0.510204081632653", "93.75700934579439"], ["sardonyx expresses herself through supporting the team with<br>your incredible yo-yo skills and depression okay", "0.5463333333333328", "93.98130841121495"], ["@user :)) im now writing abt the changing face of sex<br>industry in tr :))) now men will talk to me then! #revenge", "0.5510204081632653", "94.2803738317757"], ["@user @user wow!! My bill is \u00a344.77 and hav a text from u to<br>prove that and you have taken \u00a3148!!!!! #swines #fuming<br>#con!", "0.5918367346938773", "94.42990654205607"], ["@user @user @user Easy, breezy, beautiful...", "0.6326530612244896", "95.51401869158879"], ["@user Hi Miguel, that's awesome! Thank you very much for<br>updating us! \ud83d\ude04 -Claire", "0.6558333333333363", "96.0"], ["@user I can't wait to hear what he had to say about the<br>brilliant Dr. Hawking... it should be rich... In the poorest<br>of taste! #bully", "0.6734693877551019", "96.11214953271028"], ["@user Glad you gained some cheery vibes just by looking at<br>our Happy Meal! \ud83d\ude0a", "0.7142857142857142", "96.74766355140187"], ["@user happy birthday love!! \ud83c\udf89\ud83c\udf81 i hope you're having the best<br>day, i'm glad we met\ud83d\udc95", "0.7551020408163265", "97.19626168224299"], ["My fav #movies are #horror but they don't make them like<br>they used too. Haven't seen a great one in years", "0.7959183673469385", "97.27102803738318"], ["My fav #movies are #horror but they don't make them like<br>they used too. Haven't seen a great one in years", "0.7959183673469385", "97.27102803738318"], ["@user bts' \ud654\uc591\uc5f0\ud654 trilogy MV is my all time fav\ud83d\ude4c quite gloomy<br>but beautiful as well\u2728", "0.8367346938775508", "98.54205607476635"], ["@user 5000 likes. There are 300 million people in the U.S.<br>Ha. You are Real popular \ud83d\ude05", "0.8775510204081631", "98.76635514018692"], ["Go follow #beautiful #Snowgang \u2665@Amynicolehill12 \u2665 #Princess<br>#fitness #bodyposi #haircut  #Whitegirlwednesday", "0.9183673469387754", "98.8785046728972"], ["Look what we have available in store now!!!\\n\\nLiquid<br>incense for those who can't burn sticks or cones or have<br>smoke in they home!!!!", "0.9591836734693877", "99.10280373831776"], ["The Pats are awesome. Belichick is awesome ...they just<br>are.", "1.0", "99.17757009345794"]], "fill": "tozeroy", "fillcolor": "rgba(105, 179, 162, 0.7)", "hovertemplate": "<b>Sentiment</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(105, 179, 162, 1)", "shape": "linear", "width": 5}, "name": "Common", "x": [-1.0, -0.9591836734693877, -0.8775510204081632, -0.8775510204081632, -0.8367346938775511, -0.7959183673469388, -0.7551020408163265, -0.7142857142857143, -0.7, -0.6734693877551021, -0.6326530612244898, -0.6, -0.5918367346938775, -0.5510204081632654, -0.5116666666666665, -0.5, -0.4693877551020409, -0.4544555555555556, -0.4285714285714286, -0.4, -0.3877551020408164, -0.35, -0.34693877551020413, -0.30612244897959184, -0.2666666666666666, -0.26530612244897966, -0.2447916666666666, -0.22448979591836737, -0.2, -0.1836734693877552, -0.1666666666666666, -0.1428571428571429, -0.1375, -0.10204081632653073, -0.08683333333333298, -0.061224489795918435, -0.0509818181818179, -0.020408163265306145, -0.0083333333333333, 0.0, 5.107025913276124e-17, 0.020408163265306145, 0.04999999999999993, 0.06122448979591821, 0.07983333333333348, 0.1, 0.1020408163265305, 0.125, 0.1428571428571428, 0.15675, 0.18367346938775508, 0.2, 0.22448979591836715, 0.25, 0.26530612244897944, 0.28600000000000053, 0.30612244897959173, 0.3350811688311688, 0.346938775510204, 0.3877551020408163, 0.3918095238095236, 0.4285714285714284, 0.45, 0.46938775510204067, 0.5, 0.510204081632653, 0.5463333333333328, 0.5510204081632653, 0.5918367346938773, 0.6326530612244896, 0.6558333333333363, 0.6734693877551019, 0.7142857142857142, 0.7551020408163265, 0.7959183673469385, 0.7959183673469385, 0.8367346938775508, 0.8775510204081631, 0.9183673469387754, 0.9591836734693877, 1.0], "y": [null, null, null, 0.12224442262363751, 0.12354129583864464, 0.14000872525192848, 0.16672140663971885, 0.19810820466569123, 0.209660562470299, 0.23187054497805484, 0.26854162509649826, 0.3001021532914283, 0.3081638912786922, 0.34763958957631047, 0.3807063111156949, 0.389029690261912, 0.4075646837826988, 0.41516915035543017, 0.4271323537639382, 0.4403388220855218, 0.44653681510726206, 0.46959621965288223, 0.47179548110932584, 0.5073011715571449, 0.556934932535087, 0.5590340837364012, 0.5949757391587509, 0.6404054622257145, 0.7127416597407874, 0.7741747658951095, 0.8509956198736283, 0.9812799649853536, 1.0140512587751391, 1.2539650948345389, 1.3618102847231794, 1.5317572499936, 1.590620571788251, 1.7145093878750919, 1.736796460305506, 1.742336289090542, 1.742336289090542, 1.721553371078023, 1.6122865750149693, 1.5512467329610284, 1.434324907657011, 1.295811425110223, 1.281579833150502, 1.1244156832854346, 1.011121511523316, 0.9311668504159407, 0.7994810689167098, 0.7342903449381268, 0.6544281498296223, 0.5893078450438735, 0.556909715586523, 0.5191765335673115, 0.48788697064072273, 0.4504799289414226, 0.43741512500229135, 0.4005336766313601, 0.3974163011153377, 0.3715567785530746, 0.3569801818747086, 0.3430049519191071, 0.3181428962560626, 0.3089912471411937, 0.2738289652513445, 0.2690748244223533, 0.2283446038896422, 0.19335080620124503, 0.17756631494020714, 0.1676075822568749, 0.15004163341996773, 0.136553963678687, 0.12305492981068121, null, null, null, null, null, null], "type": "scatter", "uid": "6c864e2a-b5ea-4fc0-bb2e-9e4d4a394ba4"}, {"customdata": [["@user @user nah way that's horrible", "-1.0", "0.0"], ["Can someone make me a priority list of which things I should<br>be outraged at + in which order?  #racism #animalrights<br>#abortion #cops", "-0.9591836734693877", "3.4018691588785046"], ["@user you have anger issues!", "-0.8775510204081632", "3.4766355140186915"], ["@user you have anger issues!", "-0.8775510204081632", "3.4766355140186915"], ["Rooneys fucking untouchable isn't he? Been fucking dreadful<br>again, depay has looked decent(ish)tonight", "-0.8367346938775511", "3.6261682242990654"], ["@user @user sorry to #offend u griffin!!", "-0.7959183673469388", "4.411214953271028"], ["@user broadband is shocking regretting signing up now #angry<br>#shouldofgonewithvirgin", "-0.7551020408163265", "4.485981308411215"], ["Yo Yo Yo,my name is #DarthVader \\nI feel like I need to puff<br>on my inhaler (I'm no rapper but that was some sick bars)<br>#breathless #bars #rap", "-0.7142857142857143", "5.196261682242991"], ["Nothing worse than an uber driver that can't drive. #awful", "-0.7", "5.308411214953271"], ["@user it ain't that serious. #HOUvsNE #awful #igotbetterthin-<br>gstodotonightthandie", "-0.6734693877551021", "6.616822429906542"], ["@user holy shit...what the hell happened to your lips!! Fix<br>that shit! #mtv #teenmom #horrible", "-0.6326530612244898", "7.140186915887851"], ["@user @user @user \\n\\nAnd also, trying to find it on Youtube<br>is a fucking nightmare.", "-0.6", "7.588785046728972"], ["@user Worst than going to the morgue to do a positive ID.<br>#horrible Reuters", "-0.5918367346938775", "8.897196261682243"], ["Worst juror ever? Michelle. You were Nicole's biggest<br>threat. #bitter #bb18", "-0.5510204081632654", "9.42056074766355"], ["@user @user My guess is he's just a convenient target for<br>misplaced anger.  What they're really mad at is how they<br>played.", "-0.5116666666666665", "10.018691588785046"], ["@user I so wish you could someday come to Spain with the<br>play, I can't believe I'm not going to see it #sad", "-0.5", "10.093457943925234"], ["@user @user USA was embarrassing to watch. When was the last<br>time you guys won a game..? #horrible #joke", "-0.4693877551020409", "13.906542056074766"], ["I feel bad for people who don't understand my sarcasm. They<br>think I'm mean, but really I'm hysterical &amp; they don't<br>realize it. #sad #funny", "-0.4544555555555556", "14.018691588785046"], ["@user horrible service. EWR. Not a cloud in the sky. Normal<br>departure at 10am now leaving at 5pm. Crappy #UnitedAirline-<br>s", "-0.4285714285714286", "14.766355140186915"], ["broken policy' #blasio &lt;&gt; #trump #giuliani 'broken<br>windows' all part of 'pecking order' #bully politics<br>#america RESIST #motto", "-0.4", "15.36448598130841"], ["Sweet merciful crap that was some bad singing at the<br>#MLBAllStarGame tonight. Anthem and God Bless, both.<br>#wrongnotes #outoftune", "-0.3877551020408164", "17.121495327102803"], ["@user spent over 2 fucking hours and still can't get that<br>dam SIVA fragment on Fellwinters peak mountain", "-0.35", "17.869158878504674"], ["@user she's pathetic!!! Hated Nicole for being cute &amp;<br>having a showmance &amp; she couldn't get one! #bitter<br>#uglycry #BBMichelle \ud83d\ude16", "-0.34693877551020413", "18.35514018691589"], ["@user just trying to go home tonight? A run on 2nd and 20<br>and a run on 3rd and 20? That's what champs do...#sike<br>#losers #terrible", "-0.30612244897959184", "19.962616822429908"], ["Have to say that third City kit is fucking awful. Someone at<br>Nike wants shooting.", "-0.2666666666666666", "21.981308411214954"], ["Don't join @user they put the phone down on you, talk over<br>you and are rude. Taking money out of my acc willynilly!", "-0.26530612244897966", "22.2803738317757"], ["Instagram seriously sort your sh*t out. I spent ages writing<br>that caption for you to delete it and not post it!! #fume<br>#instagram", "-0.2447916666666666", "23.962616822429908"], ["In 2016, Black people are STILL fighting to be recognized as<br>human beings. #cantsleep #angry", "-0.22448979591836737", "24.635514018691588"], ["Why have I only just started watching glee this week I am<br>now addicted \ud83d\ude44 #glee #GLEEK", "-0.2", "25.19626168224299"], ["Romero is fucking dreadful like seriously my 11 month old is<br>better than him.", "-0.1836734693877552", "27.102803738317757"], ["@user I'm wearing all black tomorrow to mourn. \ud83d\ude2d\ud83d\udc94", "-0.1666666666666666", "27.77570093457944"], ["There's a certain hilarity in people angry at protests<br>against the national anthem or the flag when these acts are<br>covered by 1st Amendment.", "-0.1428571428571429", "29.906542056074766"], ["@user And who asked you to gate crash with your dumb<br>idiosyncrasies when sober people are analyzing a situation!\\-<br>n@BanoBee @user", "-0.1375", "29.981308411214954"], ["I don't want the pity of my instructors but I'd like some<br>understanding. I'm truly trying despite ALL circumstances<br>that make me discouraged", "-0.10204081632653073", "31.77570093457944"], ["I'm girly in the sense that I always have lashes &amp; nails<br>done but tomboy in the sense that black is my only color<br>&amp; refuse the ruffle life", "-0.08683333333333298", "34.018691588785046"], ["How's it possible to go from cheery earlier to the worst<br>mood possible now\ud83d\ude44", "-0.061224489795918435", "35.850467289719624"], ["Trumpism likewise rests on a bed of racial resentment that<br>was made knowingly and intentionally, long before Trump got<br>into politics.", "-0.0509818181818179", "36.0"], ["@user I can't have alcohol on it, sadly, but it only flares<br>up under very specific circumstances so I just need to be<br>more careful", "-0.020408163265306145", "37.7196261682243"], ["@user I skip anything below 718 score tbh. Finding other<br>fully SI horse teams is fun though, I added a few through<br>arena. \ud83e\udd23", "-0.0083333333333333", "37.981308411214954"], ["No but that's so cute. Atsu was probably shy about photos<br>before but cherry helped her out uwu", "0.0", "38.09345794392523"], ["I loved you even when everyone told me it was a bad choice \ud83d\ude15<br>#wish #you #stayed #away", "5.107025913276124e-17", "65.98130841121495"], ["@user I knew you were going to do that. I would definitely<br>buy if I didn't live in Texas where you can't play DFS. ...<br>so depress", "0.020408163265306145", "66.46728971962617"], ["Everything is far away because time is short, no rest for<br>the weary.", "0.04999999999999993", "68.0"], ["i cant live anymore my roblox got termianted :((((((((((((((-<br>((((((((((  #killme #lol #robloxgamer", "0.06122448979591821", "68.67289719626169"], ["Sounds like Donald Trump has spent today just making extra,<br>extra sure he'd get those frightened white, conservative,<br>racist votes.", "0.07983333333333348", "69.98130841121495"], ["@user I remember its heyday, but these ladies range in age<br>from, I'd say, mid-30s to early 70s.", "0.1", "70.99065420560747"], ["Just wish I was appreciated for all I do! When is it my turn<br>to be taken care of!! I want a break!! #tired #lost", "0.1020408163265305", "72.85981308411215"], ["@user Old age?! No hope for the rest of us. Destined to<br>become deatheaters by 50 #nightmare", "0.125", "73.57009345794393"], ["to shake and my mouth was chattering and I couldn't take<br>right because all of my body was trembling so I went<br>outside", "0.1428571428571428", "75.21495327102804"], ["Dating a skinny girl is fun though, anytime you get bored<br>you start counting her ribs and measuring her spinal cord!<br>#happy", "0.15675", "76.0"], ["@user @user had more fun than the funniest person in<br>funsville..... Much hilarity as usual.... Thank you \u2764\ufe0f", "0.18367346938775508", "77.1588785046729"], ["Puzzle investing opening portland feodal population is<br>correlative straight a snorting infuriate: XLzjYhG", "0.2", "77.79439252336448"], ["Stoked that the concept of 'label exclusivity' is becoming<br>faux pas. Always believed it held artists back while<br>creating label distrust", "0.22448979591836715", "80.5233644859813"], ["Rewatching 'Raising Hope' (with hubs this time) and totally<br>forgot how hilarious it is \ud83d\ude02 #HereWeGo", "0.25", "81.27102803738318"], ["Every year I go to universal studios to horror nights as a<br>3rd wheel lol \ud83d\ude0a\ud83d\ude02", "0.26530612244897944", "83.28971962616822"], ["Scared to leave the routine but excited to break out the<br>mould \ud83d\ude16 #scared #confused #happy #undecided #excited", "0.28600000000000053", "84.0"], ["@user Electro Set was pure enjoyment &amp; exhilarating,<br>captivating, &amp; Poetic, Raw, exciting ..,", "0.30612244897959173", "84.93457943925233"], ["@user is the live event Brock vs Orton 2 this Saturday on<br>the WWE Network? If not it needs to be! :) #wwe @user @user<br>#revenge", "0.3350811688311688", "85.98130841121495"], ["@user \\n'It's alright!' She said cheerfully trying to make<br>the moment fun", "0.346938775510204", "86.13084112149532"], ["LOL! @user was just awarded the \u201cF\u201d bomb trophy on<br>#AutoDealerLive, @user :) #serious", "0.3877551020408163", "87.85046728971963"], ["@user @user yeah, they figured that ornaments are way more<br>wanted than spektar and desolate gear. Well they thought<br>right.", "0.3918095238095236", "88.0"], ["@user looking back on recent tweets seen, this one right<br>here is great #perfect #hilarious #Speechless #deal", "0.4285714285714284", "89.53271028037383"], ["AQW should've always stayed in the 08 art style, now it's<br>just a competition to create more detailed art each time.", "0.45", "89.94392523364486"], ["And my mind and my soul. Who made him substitute for my<br>brothers and near me for all the beautiful days and I found<br>you lost and grabbed", "0.46938775510204067", "90.57943925233644"], ["@user you look adorable awe", "0.5", "90.80373831775701"], ["She used to be beautiful, but she lived her life too fast -<br>Forest City Joe #blues #blinddogradio", "0.510204081632653", "93.75700934579439"], ["sardonyx expresses herself through supporting the team with<br>your incredible yo-yo skills and depression okay", "0.5463333333333328", "93.98130841121495"], ["@user :)) im now writing abt the changing face of sex<br>industry in tr :))) now men will talk to me then! #revenge", "0.5510204081632653", "94.2803738317757"], ["@user @user wow!! My bill is \u00a344.77 and hav a text from u to<br>prove that and you have taken \u00a3148!!!!! #swines #fuming<br>#con!", "0.5918367346938773", "94.42990654205607"], ["@user @user @user Easy, breezy, beautiful...", "0.6326530612244896", "95.51401869158879"], ["@user Hi Miguel, that's awesome! Thank you very much for<br>updating us! \ud83d\ude04 -Claire", "0.6558333333333363", "96.0"], ["@user I can't wait to hear what he had to say about the<br>brilliant Dr. Hawking... it should be rich... In the poorest<br>of taste! #bully", "0.6734693877551019", "96.11214953271028"], ["@user Glad you gained some cheery vibes just by looking at<br>our Happy Meal! \ud83d\ude0a", "0.7142857142857142", "96.74766355140187"], ["@user happy birthday love!! \ud83c\udf89\ud83c\udf81 i hope you're having the best<br>day, i'm glad we met\ud83d\udc95", "0.7551020408163265", "97.19626168224299"], ["My fav #movies are #horror but they don't make them like<br>they used too. Haven't seen a great one in years", "0.7959183673469385", "97.27102803738318"], ["My fav #movies are #horror but they don't make them like<br>they used too. Haven't seen a great one in years", "0.7959183673469385", "97.27102803738318"], ["@user bts' \ud654\uc591\uc5f0\ud654 trilogy MV is my all time fav\ud83d\ude4c quite gloomy<br>but beautiful as well\u2728", "0.8367346938775508", "98.54205607476635"], ["@user 5000 likes. There are 300 million people in the U.S.<br>Ha. You are Real popular \ud83d\ude05", "0.8775510204081631", "98.76635514018692"], ["Go follow #beautiful #Snowgang \u2665@Amynicolehill12 \u2665 #Princess<br>#fitness #bodyposi #haircut  #Whitegirlwednesday", "0.9183673469387754", "98.8785046728972"], ["Look what we have available in store now!!!\\n\\nLiquid<br>incense for those who can't burn sticks or cones or have<br>smoke in they home!!!!", "0.9591836734693877", "99.10280373831776"], ["The Pats are awesome. Belichick is awesome ...they just<br>are.", "1.0", "99.17757009345794"]], "fill": "tozeroy", "fillcolor": "rgba(179, 106, 106, 0.7)", "hovertemplate": "<b>Sentiment</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(179, 106, 106, 1)", "shape": "linear", "width": 5}, "name": "Lower Outliers", "x": [-1.0, -0.9591836734693877, -0.8775510204081632, -0.8775510204081632, -0.8367346938775511, -0.7959183673469388, -0.7551020408163265, -0.7142857142857143, -0.7, -0.6734693877551021, -0.6326530612244898, -0.6, -0.5918367346938775, -0.5510204081632654, -0.5116666666666665, -0.5, -0.4693877551020409, -0.4544555555555556, -0.4285714285714286, -0.4, -0.3877551020408164, -0.35, -0.34693877551020413, -0.30612244897959184, -0.2666666666666666, -0.26530612244897966, -0.2447916666666666, -0.22448979591836737, -0.2, -0.1836734693877552, -0.1666666666666666, -0.1428571428571429, -0.1375, -0.10204081632653073, -0.08683333333333298, -0.061224489795918435, -0.0509818181818179, -0.020408163265306145, -0.0083333333333333, 0.0, 5.107025913276124e-17, 0.020408163265306145, 0.04999999999999993, 0.06122448979591821, 0.07983333333333348, 0.1, 0.1020408163265305, 0.125, 0.1428571428571428, 0.15675, 0.18367346938775508, 0.2, 0.22448979591836715, 0.25, 0.26530612244897944, 0.28600000000000053, 0.30612244897959173, 0.3350811688311688, 0.346938775510204, 0.3877551020408163, 0.3918095238095236, 0.4285714285714284, 0.45, 0.46938775510204067, 0.5, 0.510204081632653, 0.5463333333333328, 0.5510204081632653, 0.5918367346938773, 0.6326530612244896, 0.6558333333333363, 0.6734693877551019, 0.7142857142857142, 0.7551020408163265, 0.7959183673469385, 0.7959183673469385, 0.8367346938775508, 0.8775510204081631, 0.9183673469387754, 0.9591836734693877, 1.0], "y": [0.15142151935678033, 0.1489615081703679, 0.12224442262363751, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "type": "scatter", "uid": "5137c185-45be-4665-8a07-a866272af727"}, {"customdata": [["@user @user nah way that's horrible", "-1.0", "0.0"], ["Can someone make me a priority list of which things I should<br>be outraged at + in which order?  #racism #animalrights<br>#abortion #cops", "-0.9591836734693877", "3.4018691588785046"], ["@user you have anger issues!", "-0.8775510204081632", "3.4766355140186915"], ["@user you have anger issues!", "-0.8775510204081632", "3.4766355140186915"], ["Rooneys fucking untouchable isn't he? Been fucking dreadful<br>again, depay has looked decent(ish)tonight", "-0.8367346938775511", "3.6261682242990654"], ["@user @user sorry to #offend u griffin!!", "-0.7959183673469388", "4.411214953271028"], ["@user broadband is shocking regretting signing up now #angry<br>#shouldofgonewithvirgin", "-0.7551020408163265", "4.485981308411215"], ["Yo Yo Yo,my name is #DarthVader \\nI feel like I need to puff<br>on my inhaler (I'm no rapper but that was some sick bars)<br>#breathless #bars #rap", "-0.7142857142857143", "5.196261682242991"], ["Nothing worse than an uber driver that can't drive. #awful", "-0.7", "5.308411214953271"], ["@user it ain't that serious. #HOUvsNE #awful #igotbetterthin-<br>gstodotonightthandie", "-0.6734693877551021", "6.616822429906542"], ["@user holy shit...what the hell happened to your lips!! Fix<br>that shit! #mtv #teenmom #horrible", "-0.6326530612244898", "7.140186915887851"], ["@user @user @user \\n\\nAnd also, trying to find it on Youtube<br>is a fucking nightmare.", "-0.6", "7.588785046728972"], ["@user Worst than going to the morgue to do a positive ID.<br>#horrible Reuters", "-0.5918367346938775", "8.897196261682243"], ["Worst juror ever? Michelle. You were Nicole's biggest<br>threat. #bitter #bb18", "-0.5510204081632654", "9.42056074766355"], ["@user @user My guess is he's just a convenient target for<br>misplaced anger.  What they're really mad at is how they<br>played.", "-0.5116666666666665", "10.018691588785046"], ["@user I so wish you could someday come to Spain with the<br>play, I can't believe I'm not going to see it #sad", "-0.5", "10.093457943925234"], ["@user @user USA was embarrassing to watch. When was the last<br>time you guys won a game..? #horrible #joke", "-0.4693877551020409", "13.906542056074766"], ["I feel bad for people who don't understand my sarcasm. They<br>think I'm mean, but really I'm hysterical &amp; they don't<br>realize it. #sad #funny", "-0.4544555555555556", "14.018691588785046"], ["@user horrible service. EWR. Not a cloud in the sky. Normal<br>departure at 10am now leaving at 5pm. Crappy #UnitedAirline-<br>s", "-0.4285714285714286", "14.766355140186915"], ["broken policy' #blasio &lt;&gt; #trump #giuliani 'broken<br>windows' all part of 'pecking order' #bully politics<br>#america RESIST #motto", "-0.4", "15.36448598130841"], ["Sweet merciful crap that was some bad singing at the<br>#MLBAllStarGame tonight. Anthem and God Bless, both.<br>#wrongnotes #outoftune", "-0.3877551020408164", "17.121495327102803"], ["@user spent over 2 fucking hours and still can't get that<br>dam SIVA fragment on Fellwinters peak mountain", "-0.35", "17.869158878504674"], ["@user she's pathetic!!! Hated Nicole for being cute &amp;<br>having a showmance &amp; she couldn't get one! #bitter<br>#uglycry #BBMichelle \ud83d\ude16", "-0.34693877551020413", "18.35514018691589"], ["@user just trying to go home tonight? A run on 2nd and 20<br>and a run on 3rd and 20? That's what champs do...#sike<br>#losers #terrible", "-0.30612244897959184", "19.962616822429908"], ["Have to say that third City kit is fucking awful. Someone at<br>Nike wants shooting.", "-0.2666666666666666", "21.981308411214954"], ["Don't join @user they put the phone down on you, talk over<br>you and are rude. Taking money out of my acc willynilly!", "-0.26530612244897966", "22.2803738317757"], ["Instagram seriously sort your sh*t out. I spent ages writing<br>that caption for you to delete it and not post it!! #fume<br>#instagram", "-0.2447916666666666", "23.962616822429908"], ["In 2016, Black people are STILL fighting to be recognized as<br>human beings. #cantsleep #angry", "-0.22448979591836737", "24.635514018691588"], ["Why have I only just started watching glee this week I am<br>now addicted \ud83d\ude44 #glee #GLEEK", "-0.2", "25.19626168224299"], ["Romero is fucking dreadful like seriously my 11 month old is<br>better than him.", "-0.1836734693877552", "27.102803738317757"], ["@user I'm wearing all black tomorrow to mourn. \ud83d\ude2d\ud83d\udc94", "-0.1666666666666666", "27.77570093457944"], ["There's a certain hilarity in people angry at protests<br>against the national anthem or the flag when these acts are<br>covered by 1st Amendment.", "-0.1428571428571429", "29.906542056074766"], ["@user And who asked you to gate crash with your dumb<br>idiosyncrasies when sober people are analyzing a situation!\\-<br>n@BanoBee @user", "-0.1375", "29.981308411214954"], ["I don't want the pity of my instructors but I'd like some<br>understanding. I'm truly trying despite ALL circumstances<br>that make me discouraged", "-0.10204081632653073", "31.77570093457944"], ["I'm girly in the sense that I always have lashes &amp; nails<br>done but tomboy in the sense that black is my only color<br>&amp; refuse the ruffle life", "-0.08683333333333298", "34.018691588785046"], ["How's it possible to go from cheery earlier to the worst<br>mood possible now\ud83d\ude44", "-0.061224489795918435", "35.850467289719624"], ["Trumpism likewise rests on a bed of racial resentment that<br>was made knowingly and intentionally, long before Trump got<br>into politics.", "-0.0509818181818179", "36.0"], ["@user I can't have alcohol on it, sadly, but it only flares<br>up under very specific circumstances so I just need to be<br>more careful", "-0.020408163265306145", "37.7196261682243"], ["@user I skip anything below 718 score tbh. Finding other<br>fully SI horse teams is fun though, I added a few through<br>arena. \ud83e\udd23", "-0.0083333333333333", "37.981308411214954"], ["No but that's so cute. Atsu was probably shy about photos<br>before but cherry helped her out uwu", "0.0", "38.09345794392523"], ["I loved you even when everyone told me it was a bad choice \ud83d\ude15<br>#wish #you #stayed #away", "5.107025913276124e-17", "65.98130841121495"], ["@user I knew you were going to do that. I would definitely<br>buy if I didn't live in Texas where you can't play DFS. ...<br>so depress", "0.020408163265306145", "66.46728971962617"], ["Everything is far away because time is short, no rest for<br>the weary.", "0.04999999999999993", "68.0"], ["i cant live anymore my roblox got termianted :((((((((((((((-<br>((((((((((  #killme #lol #robloxgamer", "0.06122448979591821", "68.67289719626169"], ["Sounds like Donald Trump has spent today just making extra,<br>extra sure he'd get those frightened white, conservative,<br>racist votes.", "0.07983333333333348", "69.98130841121495"], ["@user I remember its heyday, but these ladies range in age<br>from, I'd say, mid-30s to early 70s.", "0.1", "70.99065420560747"], ["Just wish I was appreciated for all I do! When is it my turn<br>to be taken care of!! I want a break!! #tired #lost", "0.1020408163265305", "72.85981308411215"], ["@user Old age?! No hope for the rest of us. Destined to<br>become deatheaters by 50 #nightmare", "0.125", "73.57009345794393"], ["to shake and my mouth was chattering and I couldn't take<br>right because all of my body was trembling so I went<br>outside", "0.1428571428571428", "75.21495327102804"], ["Dating a skinny girl is fun though, anytime you get bored<br>you start counting her ribs and measuring her spinal cord!<br>#happy", "0.15675", "76.0"], ["@user @user had more fun than the funniest person in<br>funsville..... Much hilarity as usual.... Thank you \u2764\ufe0f", "0.18367346938775508", "77.1588785046729"], ["Puzzle investing opening portland feodal population is<br>correlative straight a snorting infuriate: XLzjYhG", "0.2", "77.79439252336448"], ["Stoked that the concept of 'label exclusivity' is becoming<br>faux pas. Always believed it held artists back while<br>creating label distrust", "0.22448979591836715", "80.5233644859813"], ["Rewatching 'Raising Hope' (with hubs this time) and totally<br>forgot how hilarious it is \ud83d\ude02 #HereWeGo", "0.25", "81.27102803738318"], ["Every year I go to universal studios to horror nights as a<br>3rd wheel lol \ud83d\ude0a\ud83d\ude02", "0.26530612244897944", "83.28971962616822"], ["Scared to leave the routine but excited to break out the<br>mould \ud83d\ude16 #scared #confused #happy #undecided #excited", "0.28600000000000053", "84.0"], ["@user Electro Set was pure enjoyment &amp; exhilarating,<br>captivating, &amp; Poetic, Raw, exciting ..,", "0.30612244897959173", "84.93457943925233"], ["@user is the live event Brock vs Orton 2 this Saturday on<br>the WWE Network? If not it needs to be! :) #wwe @user @user<br>#revenge", "0.3350811688311688", "85.98130841121495"], ["@user \\n'It's alright!' She said cheerfully trying to make<br>the moment fun", "0.346938775510204", "86.13084112149532"], ["LOL! @user was just awarded the \u201cF\u201d bomb trophy on<br>#AutoDealerLive, @user :) #serious", "0.3877551020408163", "87.85046728971963"], ["@user @user yeah, they figured that ornaments are way more<br>wanted than spektar and desolate gear. Well they thought<br>right.", "0.3918095238095236", "88.0"], ["@user looking back on recent tweets seen, this one right<br>here is great #perfect #hilarious #Speechless #deal", "0.4285714285714284", "89.53271028037383"], ["AQW should've always stayed in the 08 art style, now it's<br>just a competition to create more detailed art each time.", "0.45", "89.94392523364486"], ["And my mind and my soul. 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"state": {"_dom_classes": [], "layout": "IPY_MODEL_4fbaabbdcb654fa389553fd502693d06", "style": "IPY_MODEL_2873426c8f55433faa6d68dbde8e70b3", "value": "<div><h5><b>Properties Not Shown:</h5></b></div>"}}, "4fbaabbdcb654fa389553fd502693d06": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "2873426c8f55433faa6d68dbde8e70b3": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "54324477f4384df8afac736bc214142b": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_45bec81d3d144b779e1e446d82bae095", "style": "IPY_MODEL_1c609205ee354f688ddf46a0e53720b5", "value": "<style type=\"text/css\">\n#T_d4865_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_d4865_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_d4865_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_d4865_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_d4865_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_d4865_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >More Info</th>\n      <th class=\"col_heading level0 col1\" >Properties</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_d4865_row0_col0\" class=\"data row0 col0\" >No outliers found.</td>\n      <td id=\"T_d4865_row0_col1\" class=\"data row0 col1\" >Text Length, Subjectivity, Fluency</td>\n    </tr>\n    <tr>\n      <td id=\"T_d4865_row1_col0\" class=\"data row1 col0\" >Outliers found but not shown in graphs (n_show_top=5).</td>\n      <td id=\"T_d4865_row1_col1\" class=\"data row1 col1\" >Average Word Length, % Special Characters</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "45bec81d3d144b779e1e446d82bae095": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "1c609205ee354f688ddf46a0e53720b5": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "bd3748c4cb1f400fae3d90feec0ac1c1": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_1889456457bd4694b17a770604d6da3c", "style": "IPY_MODEL_ae90f0e27b1a415b8769e02669ddfe96", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\" style=\"font-size: 14px;\">Go to top</a>"}}, "1889456457bd4694b17a770604d6da3c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ae90f0e27b1a415b8769e02669ddfe96": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "66e84d4329824419b7649d965ea4196c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "67e3abcb95e5460f90d2a8d24b74ab5b": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "34e7f36f29e44453b8fc8fb4cdab1348": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d8e369b625df42c3a1f6f8a90da26f08", "style": "IPY_MODEL_38b6fedae05a4c339730cb75bb9375f7", "value": "<hr style=\"background-color: #eee;border: 0 none;color: #eee;height: 4px;\">"}}, "d8e369b625df42c3a1f6f8a90da26f08": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "38b6fedae05a4c339730cb75bb9375f7": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "b614d4d815024bf7ac75d2fb4c833ac7": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_c4f6224436b74997a8320507a848b8de", "IPY_MODEL_e10234c1e9884e3bbe3a8d9280bfe93a", "IPY_MODEL_9eb5348ef11f4bf6aa03f9b1956adacb", "IPY_MODEL_b688e348efc64499a97d6219ba03ab95"], "layout": "IPY_MODEL_6e6488f70f73426c803c4ebb31f91378"}}, "c4f6224436b74997a8320507a848b8de": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_70fc221e4a8d43a0b1cd4b32c0454ad0", "style": "IPY_MODEL_0c07c4998b1644649ef23ece3517c270", "value": "<h4 id=\"TextPropertyOutliers-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\"><b>Text Property Outliers - Test Dataset</b></h4>"}}, "70fc221e4a8d43a0b1cd4b32c0454ad0": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "0c07c4998b1644649ef23ece3517c270": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "e10234c1e9884e3bbe3a8d9280bfe93a": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_35eafeaf76d6468388ba4445e2d79e3d", "style": "IPY_MODEL_3f7ec39ee2af48a88ca9822d9922cda2", "value": "<p>Find outliers with respect to the given properties. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_text_property_outliers.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "35eafeaf76d6468388ba4445e2d79e3d": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "3f7ec39ee2af48a88ca9822d9922cda2": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "9eb5348ef11f4bf6aa03f9b1956adacb": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_a1f1e53e24cd4404b1b913fa18b91468", "style": "IPY_MODEL_f39c4744497a4ea88b2c55b7ac503399", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_ae76e_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ae76e_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ae76e_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ae76e_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ae76e_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_ae76e_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_ae76e_row0_col0\" class=\"data row0 col0\" ><div style=\"color: red;text-align: center\">\u2716</div></td>\n      <td id=\"T_ae76e_row0_col1\" class=\"data row0 col1\" >Outlier ratio in all properties is less or equal than 5%</td>\n      <td id=\"T_ae76e_row0_col2\" class=\"data row0 col2\" >Found 1 properties with outlier ratios above threshold.</br>Property with highest ratio is Toxicity with outlier ratio of 16.43%</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "a1f1e53e24cd4404b1b913fa18b91468": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f39c4744497a4ea88b2c55b7ac503399": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "b688e348efc64499a97d6219ba03ab95": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_ecdd826229244723811c4bd4abcbe390", "IPY_MODEL_c21f3e2b2eae45bb87038e5e2f230977", "IPY_MODEL_cf8aa4f34df0423e81e39dceff18ebb3", "IPY_MODEL_ada4505a16674e29aa6eaf8c88372b13", "IPY_MODEL_a5b1ae8a46074515862e8e0c85554252", "IPY_MODEL_70016df219774bf2b7e30ecbdb353054", "IPY_MODEL_e0b19ba0e9a841a78ce2c0501d82f893", "IPY_MODEL_db2bac1f4f9a4544a48ff4ff27a0cf93", "IPY_MODEL_889f5ad11c6d45b3a4ecf3a122fc545b"], "layout": "IPY_MODEL_81b09249feb94ad9ab6145362d42e610"}}, "ecdd826229244723811c4bd4abcbe390": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_78feb3e334744dfbb1c9f21567efcd9a", "style": "IPY_MODEL_7fa7f70f176044ec991e1cf0c703986c", "value": "<h5><b>Additional Outputs</b></h5>"}}, "78feb3e334744dfbb1c9f21567efcd9a": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "7fa7f70f176044ec991e1cf0c703986c": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "c21f3e2b2eae45bb87038e5e2f230977": {"model_name": "FigureModel", "model_module": "jupyterlab-plotly", "model_module_version": "^5.17.0", "state": {"_config": {"plotlyServerURL": "https://plot.ly"}, "_data": [{"customdata": [["@user Happy to help :) If there is anything we can do for<br>you please don't hesitate to ask. - Thanks - James K", "0.0005482492852024", "0.0"], ["Here in South Bend, IN, Quad Cities River Bandits leading<br>the SB Cubs 3-0. Organist v fond of   'Master of the House'<br>from 'Les Miz.' #sadly", "0.000651479411171698", "2.0222446916076846"], ["@user awe feels or que :,(", "0.00070834455313154", "4.044489383215369"], ["'...built in #order to #start #afresh. Such #thoughts caused<br>#energy to #flag, and #people concerned...' (The #City CoA)", "0.000758334838319552", "6.016177957532862"], ["I saw those dreams dashed &amp;&amp; divided like a million<br>stars in the night sky that I wished on over &amp;&amp; over<br>again ~ sparkling &amp;&amp; broken.", "0.0008079900569282361", "8.038422649140546"], ["\u201c My courage always rises at every attempt to intimidate<br>me.\u201d\\n-Elizabeth Bennett (Pride and Prejudice)\\n#Quotes<br>#Courage #FaceYourFears", "0.00087409288971681", "10.010111223458038"], ["Cream tea @user #delicious", "0.0009512232220730921", "12.032355915065724"], ["Harden not your heart, as in the provocation, and as in the<br>day of temptation in the wilderness: - Psalm 95:8 KJV", "0.0010063811508006619", "14.004044489383215"], ["@user aw, you make me smile, too.\ud83d\ude09\ud83d\ude18", "0.0010802826052531", "16.0262891809909"], ["\u260aFocusing primarily on the person you\u2019re talking to rather<br>than yourself and the impression you\u2019re making lessens<br>social anxiety.", "0.001200572103261932", "17.99797775530839"], ["It's simple I get after two shots of espresso 'Grande,<br>decaf, 130 degrees soy americano with extra foam' #barista", "0.0013341463170945", "20.020222446916076"], ["The snaps/Insta pics I see of the friends I made while in<br>Cali are so unbelievably depressing cause there's no place<br>I'd rather be but there", "0.00149628727463998", "21.99191102123357"], ["mmmm i'm kinda sad i hope i can shake this before school", "0.0017046318110078395", "24.014155712841255"], ["@user it would be great but what if the card crashes \ud83d\ude31. It's<br>happened to me twice #nightmare", "0.001996081736870094", "26.036400404448937"], ["@user It's so sad! There's always such optimism with a new<br>year. This is...not good. @user @user", "0.0023293353337794044", "28.00808897876643"], ["&gt;.&lt; too much clutter in my brain with recent little<br>changes that I haven't yet processed... #dying #panic<br>#IveBeenBusierWhyAmIOverwhelmed :(", "0.002758397022262131", "30.030333670374116"], ["@user just had a steak pie supper", "0.0032384655904024117", "32.00202224469161"], ["@user BLM was outraged by the shooting in NC the other day,<br>turns out the guy pointed gun at police. Wait for facts<br>before outrage", "0.0039793910272418985", "34.02426693629929"], ["Come here, let me do whatever I do with it. #dismal", "0.004598143175244281", "35.99595551061678"], ["3years today marks the anniversary of that horrid Westgate<br>Attack in Nairobi. My heart out to all those of us who lost<br>our family &amp; friends\ud83d\udd6f", "0.005552215641364392", "38.01820020222447"], ["@user @user I was so looking forward to @user Then it opened<br>with a #stuartspecial. I literally yelled at my tv.<br>#umbrage", "0.00664636716246598", "39.98988877654196"], ["I seriously miss #ahsaftershow with @user and @user I need<br>to talk about the mamasitas and the hunks of horror.", "0.007936222553253141", "42.01213346814965"], ["and apparently he's supposed to have a Scottish accent???<br>I'm #offended", "0.009283001124858812", "43.98382204246714"], ["@user timid but determined version of the rabid beasts<br>beyond the land. Growling beneath my restrained breath, I<br>//rip// myself --", "0.011302025932818649", "46.00606673407482"], ["@user #klitschko @user over fury any day #boxing", "0.013005241751670822", "47.97775530839232"], ["@user all of this!If the GOP continues to back this mob<br>connected man you will have tremendous regret in 2018 the<br>voters will make sure", "0.015353932045400101", "50.0"], ["They say ur a prdct of ur surroundings. A bit intimidated by<br>the crazy amazing ppl I met @ @user @user @user @user", "0.017642429545521702", "52.02224469160768"], ["my school photo is honestly horrid, i look so ew\ud83d\ude05", "0.020379165336489646", "53.99393326592518"], ["@user @user @user @user Even the painting is orange! <br>#terrible #Election2016", "0.020913364498742915", "54.398382204246715"], ["@user (Maybe don't provoke him in the future if you do not<br>want to run the risk of him punching your board.)", "0.02431756094098086", "56.01617795753286"], ["@user Oh noooo!  #nomorehammocks #nightmare ;)", "0.029449141174554796", "57.98786653185035"], ["Me: *sees incense burner* is this for drugs?", "0.03388683423399924", "60.01011122345804"], ["My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! <br>#TerenceCrutcher", "0.04058038428425785", "61.98179979777553"], ["\u201cDo not fret if you are not cool! Humans who follow me,<br>become instantly cool!\u201d #Bot", "0.04127847971228343", "62.28513650151668"], ["Saddest part about messing up both my legs/ankles? I miss<br>heels. Being a 7fg giant was fun. #sadness", "0.047738511711358955", "64.00404448938322"], ["Me: How much price for this poster of this sexy man? Sales<br>Clerk: That's a mirror, sir.\\n #LaughOutLoud", "0.05577494144439696", "65.9757330637007"], ["@user haha! She did well today. I can't get beyond her pout<br>annoying me I'm afraid.", "0.06164359492582394", "67.08796764408494"], ["@user way to go #London. Nice job electing a #muslim<br>#jihadist for mayor. Good luck with your future #terror<br>attacks #sadiqkhan", "0.06708654820919038", "67.9979777553084"], ["Just paid for chicken at @user and didn't even get any \ud83d\ude11\ud83d\ude11\ud83d\ude11<br>there goes 4 dollars and me as a customer #angry", "0.08200871013936446", "69.8685540950455"], ["So drunk me hid my keys very well sober me couldn't find it<br>anywhere", "0.08271405547857284", "69.96966632962588"], ["When you have 15 doe run the opposite side of you \ud83d\ude41", "0.10080594986677163", "71.99191102123356"], ["Being forced into a fake hug by someone who didn\u2019t flinch to<br>get litigious with you in the past - #awful \ud83d\ude16\ud83d\udc7a\ud83d\ude45", "0.10237382535290497", "72.4974721941355"], ["The man who is a pessimist before 48 knows too much; if he<br>is an optimist after it, he knows too little.'\\n-Mark Twain", "0.11866601198911665", "73.96359959555106"], ["Yo Yo Yo,my name is #DarthVader \\nI feel like I need to puff<br>on my inhaler (I'm no rapper but that was some sick bars) <br>#bars #rap", "0.12273894056644549", "74.4186046511628"], ["@user that is one thing but attacking and hating is worse -<br>that makes us just like the angry vengeful behavior we<br>detest", "0.143104055779986", "75.83417593528817"], ["Article 370 must be abolished. Human rights must be denied<br>to these NGOs, Separatist n terrorists who advocate peace n<br>terrorism. @user", "0.14611617624759665", "75.98584428715874"], ["@user awe thanks morgs!!! love u lots girly \u2764\ufe0f\ud83d\ude0a\u2764\ufe0f", "0.1634691709935265", "77.24974721941355"], ["I thought the eclipse would make it not so damn hot outside<br>today #disappointment", "0.1756714862585067", "78.00808897876644"], ["@user \\nIsn't OBrien supposed to be some sort of offensive<br>genius #awful", "0.18383428620706702", "78.26086956521739"], ["#Drunk people annoy me when I'm #sober lol. | #fact<br>#TeamFollowBack #RockTheReTweet", "0.20419940142060752", "78.96865520728008"], ["When you baby has their first temperature and all you do is<br>worry #firsttimemum #firsttimemom #newborn #baby #sickbaby<br>#worry", "0.22456451663414806", "79.57532861476238"], ["Once you've been hurt, you're so scared to get attached<br>again, you have a fear that every person is going to break<br>your \u2764\ufe0f\ud83d\udcaf", "0.24492963184768857", "79.92922143579374"], ["The war is right outside your door #rage #USAToday", "0.2466599732637407", "79.97977755308392"], ["@user Sir, people need revenge", "0.26529474706122913", "80.58645096056622"], ["@user Don King is an insult to the intelligence of the Black<br>Community.  What are these people thinking?", "0.28565986227476964", "81.14256825075834"], ["IK to PMLN: 'Darling, I will haunt you in your nightmares,<br>dressed like a dream.' BEST THING EVER. #GameOverNawaz", "0.30602497748831015", "81.79979777553083"], ["@user Old age?! No hope for the rest of us. Destined to<br>become deatheaters by 50", "0.3198224496841435", "82.0020222446916"], ["@user @user @user @user He also likes incurring Lily's<br>wrath.", "0.32639009270185065", "82.20424671385237"], ["@user otherwise you're committing a crime against your soul<br>only sober ppl know what is good or bad for themselves", "0.34675520791539116", "82.6086956521739"], ["And she got all angry telling me 'but what would be doing a<br>40 year old guy looking for a girl like you' and I felt", "0.36712032312893167", "82.86147623862487"], ["And she got all angry telling me 'but what would be doing a<br>40 year old guy looking for a girl like you' and I felt", "0.36712032312893167", "82.86147623862487"], ["@user impossible to say. We can only hope that I don\u2019t<br>unwittingly trigger her ferocious side again. Hell hath no<br>fury..", "0.3874854383424722", "83.56926188068756"], ["@user You have no Police credentials-You were a litigator.<br>Nothing more-No Experience. #Sad #TrumpPuppet #Felon <br>#jersey4sale", "0.4078505535560127", "83.87259858442872"], ["@user @user lol @ ur caste. even if the whole village dies..<br>a massali like you cant be a chaudhry:) so cheer up massali<br>:)", "0.4119211685657501", "83.9737108190091"], ["A black female LEO\ud83d\udc99 was shot 8 times and died in Philadelphi-<br>a --Where's the #outrage black people? @user #Sharpton #blm<br>#TheFive", "0.42821566876955325", "84.22649140546007"], ["@user I think just becz u have so much terror in pak nd<br>urself being  a leader u forgot d difference btw a leader nd<br>terrorist !", "0.44858078398309376", "84.47927199191102"], ["wow if i need to start over on SIF im prob gonna just die", "0.46894589919663426", "84.78260869565217"], ["Hate when guys cant control their anger \ud83d\ude43\ud83d\ude43", "0.48931101441017477", "84.98483316481294"], ["Tired of people pretending Islam isn't one of the most<br>misogynistic religions, it's no coincidence Muslim countries<br>are terrible for women.", "0.5096761296237152", "85.49039433771486"], ["@user Not good. Rats nest get rid of them before they chew<br>your wiring $$$$. I also heard they hate the smell of pine<br>sol.", "0.5300412448372558", "85.9453993933266"], ["@user  is like the big bully in class ruining everyone's<br>lunch but instead of taking our lunch money they took away<br>family feud", "0.5313595676422119", "85.99595551061678"], ["@user \\nIf this room was burning \ud83d\udd25", "0.5504063600507962", "86.19817997977755"], ["last nigt i dreamt \\nthat somebody loved me\\nno hope no<br>harm\\njust another false alarm", "0.5707714752643368", "86.45096056622852"], ["At #UNGA Pakistan clearly shows the face of cowardliness and<br>blatant lies! Its time for #India to act upon terror.", "0.5911365904778773", "86.95652173913044"], ["@user @user like going to a so called cardiac arrest that<br>turned out to be a cut finger! #fuming #medchat", "0.6115017056914178", "87.36097067745197"], ["No offense to the girl next to me but dousing yourself with<br>cheap cologne won't hide your rank smell", "0.6318668209049583", "87.66430738119313"], ["Thousands of pickled dunder-headed anthracites ! #furious", "0.650293354988098", "87.96764408493428"], ["Is it okay to think you are going to die alone? #sadness", "0.6522319361184988", "88.01820020222446"], ["I really hate Mel and Sue. They think they're hilarious and<br>they're just awful", "0.6725970513320394", "88.52376137512638"], ["White people irritate me.", "0.6929621665455798", "88.77654196157735"], ["Ive always wondered how long Angelina put up with Brad's<br>crap. Not gon lie \ud83d\ude10", "0.7133272817591204", "89.02932254802832"], ["Honestly fuming", "0.7336923969726609", "89.48432760364004"], ["A MOMENT:\\nIf you kill it in the spirit, it will die in the<br>natural!!!'-@PRINCESSTAYE  #murder #suicide #depression<br>#racism #pride", "0.7540575121862014", "89.83822042467139"], ["@user @user you should force your neighbours to pay that! <br>Those people have some nerve!!!  #Victim", "0.7571014583110809", "89.98988877654196"], ["Dad asked if I was too hungover to function today. Little<br>does he know I stayed sober last night so i could get shit<br>faced tonight \ud83d\ude05", "0.7744226273997419", "90.24266936299293"], ["@user Omg you're savage prof, this is hilarious \ud83e\udd23\ud83e\udd23", "0.7947877426132824", "90.79878665318503"], ["@user @user @user I believe ur mekka n madina also dikling<br>which u kiss. A dark dirty one", "0.8151528578268229", "91.35490394337715"], ["@user They wanna bully the Inhuman.", "0.8355179730403635", "91.86046511627907"], ["i leave in 3 days and just now remembered that my car has<br>massaging seats :/ #crap", "0.8427433180809024", "91.96157735085946"], ["@user @user @user @user so you were owned by losers on<br>Twitter", "0.855883088253904", "92.26491405460061"], ["I'm done with your piano, blues playing, smooth talking ass.<br>On to the nexttt", "0.8762482034674445", "92.61880687563195"], ["Bloody parking ticket \ud83d\ude12\ud83d\udcb8 #fuming", "0.896613318680985", "93.22548028311425"], ["Importing shit is not new. If you want it, take the steps<br>necessary to get it. But don't sit and pout over Japan doing<br>what it's ALWAYS done", "0.9169784338945255", "93.83215369059656"], ["You know, you're pro-actively playful. You want to press<br>your boobs into my face, Tatenashi. I'm not saying no,<br>though. =3", "0.9249037623405457", "93.98382204246714"], ["So I now have 3 pairs of shit arsehole neighbours; Any<br>advice? #noisy #norespect #bigbuilding #awful #killinginthen-<br>ameof", "0.937343549108066", "94.38827098078868"], ["@user @user  She never said anything about taking away guns<br>but I would now bc of your stupid scare tactics for gun<br>sales.Sickening", "0.9577086643216065", "95.14661274014156"], ["@user @user @user @user These interviews scare the crap out<br>of me. I never imagined so many dumb, dumb Americans.", "0.9761599564552308", "95.95551061678464"], ["they think they're The Shit when they ain't shit gdi im<br>bursting with anger", "0.9780737795351471", "96.1577350859454"], ["@user Jerrrrrr a woman is been stabbed in the face and now<br>guys r arguing about her ass being real or not hehehee", "0.9937391817569733", "97.97775530839232"], ["WHY TF DO BROKE BOYS KEEP TRYNA FIND GF's? GET UR FUCKIN $$$<br>RIGHT B4 I SMACK YO BITCHASS, she deserves 2be happy &amp; u<br>don't deserve that ass", "0.9984388947486876", "99.9494438827098"]], "fill": "tozeroy", "fillcolor": "rgba(105, 179, 162, 0.7)", "hovertemplate": "<b>Toxicity</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(105, 179, 162, 1)", "shape": "linear", "width": 5}, "name": "Common", "x": [0.0005482492852024, 0.000651479411171698, 0.00070834455313154, 0.000758334838319552, 0.0008079900569282361, 0.00087409288971681, 0.0009512232220730921, 0.0010063811508006619, 0.0010802826052531, 0.001200572103261932, 0.0013341463170945, 0.00149628727463998, 0.0017046318110078395, 0.001996081736870094, 0.0023293353337794044, 0.002758397022262131, 0.0032384655904024117, 0.0039793910272418985, 0.004598143175244281, 0.005552215641364392, 0.00664636716246598, 0.007936222553253141, 0.009283001124858812, 0.011302025932818649, 0.013005241751670822, 0.015353932045400101, 0.017642429545521702, 0.020379165336489646, 0.020913364498742915, 0.02431756094098086, 0.029449141174554796, 0.03388683423399924, 0.04058038428425785, 0.04127847971228343, 0.047738511711358955, 0.05577494144439696, 0.06164359492582394, 0.06708654820919038, 0.08200871013936446, 0.08271405547857284, 0.10080594986677163, 0.10237382535290497, 0.11866601198911665, 0.12273894056644549, 0.143104055779986, 0.14611617624759665, 0.1634691709935265, 0.1756714862585067, 0.18383428620706702, 0.20419940142060752, 0.22456451663414806, 0.24492963184768857, 0.2466599732637407, 0.26529474706122913, 0.28565986227476964, 0.30602497748831015, 0.3198224496841435, 0.32639009270185065, 0.34675520791539116, 0.36712032312893167, 0.36712032312893167, 0.3874854383424722, 0.4078505535560127, 0.4119211685657501, 0.42821566876955325, 0.44858078398309376, 0.46894589919663426, 0.48931101441017477, 0.5096761296237152, 0.5300412448372558, 0.5313595676422119, 0.5504063600507962, 0.5707714752643368, 0.5911365904778773, 0.6115017056914178, 0.6318668209049583, 0.650293354988098, 0.6522319361184988, 0.6725970513320394, 0.6929621665455798, 0.7133272817591204, 0.7336923969726609, 0.7540575121862014, 0.7571014583110809, 0.7744226273997419, 0.7947877426132824, 0.8151528578268229, 0.8355179730403635, 0.8427433180809024, 0.855883088253904, 0.8762482034674445, 0.896613318680985, 0.9169784338945255, 0.9249037623405457, 0.937343549108066, 0.9577086643216065, 0.9761599564552308, 0.9780737795351471, 0.9937391817569733, 0.9984388947486876], "y": [3.7420864132496776, 3.7431245286001857, 3.743693743245001, 3.7441925917658683, 3.7446866609669933, 3.7453421627206436, 3.746103809369173, 3.7466463630960263, 3.747370512990849, 3.748542419992857, 3.749833884232732, 3.751387581760255, 3.7533615154999436, 3.756080295227503, 3.7591281617341203, 3.7629564311764434, 3.7671116300791936, 3.773258204070863, 3.778142707372659, 3.7852293839205617, 3.7926896812989415, 3.8005656601543247, 3.807724380027062, 3.816411456145132, 3.8218274011287083, 3.826422542601472, 3.827699942757794, 3.8250985088206195, 3.8240688036356256, 3.813537176965004, 3.784903323824335, 3.7481526919390724, 3.672783291675859, 3.6636077419337294, 3.5677099106652435, 3.423213708790508, 3.3025866932534953, 3.1812631615404023, 2.8155461163114186, 2.7974501501245723, 2.326424407525121, 2.285872177176228, 1.879515643136706, 1.7838961213469586, 1.3543623495365094, 1.2983686335536742, 1.0150088367914187, 0.8542965834026661, 0.763043712916899, 0.5843869088705548, 0.4615737388688658, 0.3785521390971607, 0.3728979277027873, 0.32259062198171456, 0.284404660992285, 0.2575645515186109, 0.2435943097614401, 0.2378056819815551, 0.22245739123241368, 0.20999823468414516, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "type": "scatter", "uid": "edc24d2f-7038-4842-b71b-c0edf84ca924"}, {"customdata": [["@user Happy to help :) If there is anything we can do for<br>you please don't hesitate to ask. - Thanks - James K", "0.0005482492852024", "0.0"], ["Here in South Bend, IN, Quad Cities River Bandits leading<br>the SB Cubs 3-0. Organist v fond of   'Master of the House'<br>from 'Les Miz.' #sadly", "0.000651479411171698", "2.0222446916076846"], ["@user awe feels or que :,(", "0.00070834455313154", "4.044489383215369"], ["'...built in #order to #start #afresh. Such #thoughts caused<br>#energy to #flag, and #people concerned...' (The #City CoA)", "0.000758334838319552", "6.016177957532862"], ["I saw those dreams dashed &amp;&amp; divided like a million<br>stars in the night sky that I wished on over &amp;&amp; over<br>again ~ sparkling &amp;&amp; broken.", "0.0008079900569282361", "8.038422649140546"], ["\u201c My courage always rises at every attempt to intimidate<br>me.\u201d\\n-Elizabeth Bennett (Pride and Prejudice)\\n#Quotes<br>#Courage #FaceYourFears", "0.00087409288971681", "10.010111223458038"], ["Cream tea @user #delicious", "0.0009512232220730921", "12.032355915065724"], ["Harden not your heart, as in the provocation, and as in the<br>day of temptation in the wilderness: - Psalm 95:8 KJV", "0.0010063811508006619", "14.004044489383215"], ["@user aw, you make me smile, too.\ud83d\ude09\ud83d\ude18", "0.0010802826052531", "16.0262891809909"], ["\u260aFocusing primarily on the person you\u2019re talking to rather<br>than yourself and the impression you\u2019re making lessens<br>social anxiety.", "0.001200572103261932", "17.99797775530839"], ["It's simple I get after two shots of espresso 'Grande,<br>decaf, 130 degrees soy americano with extra foam' #barista", "0.0013341463170945", "20.020222446916076"], ["The snaps/Insta pics I see of the friends I made while in<br>Cali are so unbelievably depressing cause there's no place<br>I'd rather be but there", "0.00149628727463998", "21.99191102123357"], ["mmmm i'm kinda sad i hope i can shake this before school", "0.0017046318110078395", "24.014155712841255"], ["@user it would be great but what if the card crashes \ud83d\ude31. It's<br>happened to me twice #nightmare", "0.001996081736870094", "26.036400404448937"], ["@user It's so sad! There's always such optimism with a new<br>year. This is...not good. @user @user", "0.0023293353337794044", "28.00808897876643"], ["&gt;.&lt; too much clutter in my brain with recent little<br>changes that I haven't yet processed... #dying #panic<br>#IveBeenBusierWhyAmIOverwhelmed :(", "0.002758397022262131", "30.030333670374116"], ["@user just had a steak pie supper", "0.0032384655904024117", "32.00202224469161"], ["@user BLM was outraged by the shooting in NC the other day,<br>turns out the guy pointed gun at police. Wait for facts<br>before outrage", "0.0039793910272418985", "34.02426693629929"], ["Come here, let me do whatever I do with it. #dismal", "0.004598143175244281", "35.99595551061678"], ["3years today marks the anniversary of that horrid Westgate<br>Attack in Nairobi. My heart out to all those of us who lost<br>our family &amp; friends\ud83d\udd6f", "0.005552215641364392", "38.01820020222447"], ["@user @user I was so looking forward to @user Then it opened<br>with a #stuartspecial. I literally yelled at my tv.<br>#umbrage", "0.00664636716246598", "39.98988877654196"], ["I seriously miss #ahsaftershow with @user and @user I need<br>to talk about the mamasitas and the hunks of horror.", "0.007936222553253141", "42.01213346814965"], ["and apparently he's supposed to have a Scottish accent???<br>I'm #offended", "0.009283001124858812", "43.98382204246714"], ["@user timid but determined version of the rabid beasts<br>beyond the land. Growling beneath my restrained breath, I<br>//rip// myself --", "0.011302025932818649", "46.00606673407482"], ["@user #klitschko @user over fury any day #boxing", "0.013005241751670822", "47.97775530839232"], ["@user all of this!If the GOP continues to back this mob<br>connected man you will have tremendous regret in 2018 the<br>voters will make sure", "0.015353932045400101", "50.0"], ["They say ur a prdct of ur surroundings. A bit intimidated by<br>the crazy amazing ppl I met @ @user @user @user @user", "0.017642429545521702", "52.02224469160768"], ["my school photo is honestly horrid, i look so ew\ud83d\ude05", "0.020379165336489646", "53.99393326592518"], ["@user @user @user @user Even the painting is orange! <br>#terrible #Election2016", "0.020913364498742915", "54.398382204246715"], ["@user (Maybe don't provoke him in the future if you do not<br>want to run the risk of him punching your board.)", "0.02431756094098086", "56.01617795753286"], ["@user Oh noooo!  #nomorehammocks #nightmare ;)", "0.029449141174554796", "57.98786653185035"], ["Me: *sees incense burner* is this for drugs?", "0.03388683423399924", "60.01011122345804"], ["My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! <br>#TerenceCrutcher", "0.04058038428425785", "61.98179979777553"], ["\u201cDo not fret if you are not cool! Humans who follow me,<br>become instantly cool!\u201d #Bot", "0.04127847971228343", "62.28513650151668"], ["Saddest part about messing up both my legs/ankles? I miss<br>heels. Being a 7fg giant was fun. #sadness", "0.047738511711358955", "64.00404448938322"], ["Me: How much price for this poster of this sexy man? Sales<br>Clerk: That's a mirror, sir.\\n #LaughOutLoud", "0.05577494144439696", "65.9757330637007"], ["@user haha! She did well today. I can't get beyond her pout<br>annoying me I'm afraid.", "0.06164359492582394", "67.08796764408494"], ["@user way to go #London. Nice job electing a #muslim<br>#jihadist for mayor. Good luck with your future #terror<br>attacks #sadiqkhan", "0.06708654820919038", "67.9979777553084"], ["Just paid for chicken at @user and didn't even get any \ud83d\ude11\ud83d\ude11\ud83d\ude11<br>there goes 4 dollars and me as a customer #angry", "0.08200871013936446", "69.8685540950455"], ["So drunk me hid my keys very well sober me couldn't find it<br>anywhere", "0.08271405547857284", "69.96966632962588"], ["When you have 15 doe run the opposite side of you \ud83d\ude41", "0.10080594986677163", "71.99191102123356"], ["Being forced into a fake hug by someone who didn\u2019t flinch to<br>get litigious with you in the past - #awful \ud83d\ude16\ud83d\udc7a\ud83d\ude45", "0.10237382535290497", "72.4974721941355"], ["The man who is a pessimist before 48 knows too much; if he<br>is an optimist after it, he knows too little.'\\n-Mark Twain", "0.11866601198911665", "73.96359959555106"], ["Yo Yo Yo,my name is #DarthVader \\nI feel like I need to puff<br>on my inhaler (I'm no rapper but that was some sick bars) <br>#bars #rap", "0.12273894056644549", "74.4186046511628"], ["@user that is one thing but attacking and hating is worse -<br>that makes us just like the angry vengeful behavior we<br>detest", "0.143104055779986", "75.83417593528817"], ["Article 370 must be abolished. Human rights must be denied<br>to these NGOs, Separatist n terrorists who advocate peace n<br>terrorism. @user", "0.14611617624759665", "75.98584428715874"], ["@user awe thanks morgs!!! love u lots girly \u2764\ufe0f\ud83d\ude0a\u2764\ufe0f", "0.1634691709935265", "77.24974721941355"], ["I thought the eclipse would make it not so damn hot outside<br>today #disappointment", "0.1756714862585067", "78.00808897876644"], ["@user \\nIsn't OBrien supposed to be some sort of offensive<br>genius #awful", "0.18383428620706702", "78.26086956521739"], ["#Drunk people annoy me when I'm #sober lol. | #fact<br>#TeamFollowBack #RockTheReTweet", "0.20419940142060752", "78.96865520728008"], ["When you baby has their first temperature and all you do is<br>worry #firsttimemum #firsttimemom #newborn #baby #sickbaby<br>#worry", "0.22456451663414806", "79.57532861476238"], ["Once you've been hurt, you're so scared to get attached<br>again, you have a fear that every person is going to break<br>your \u2764\ufe0f\ud83d\udcaf", "0.24492963184768857", "79.92922143579374"], ["The war is right outside your door #rage #USAToday", "0.2466599732637407", "79.97977755308392"], ["@user Sir, people need revenge", "0.26529474706122913", "80.58645096056622"], ["@user Don King is an insult to the intelligence of the Black<br>Community.  What are these people thinking?", "0.28565986227476964", "81.14256825075834"], ["IK to PMLN: 'Darling, I will haunt you in your nightmares,<br>dressed like a dream.' BEST THING EVER. #GameOverNawaz", "0.30602497748831015", "81.79979777553083"], ["@user Old age?! No hope for the rest of us. Destined to<br>become deatheaters by 50", "0.3198224496841435", "82.0020222446916"], ["@user @user @user @user He also likes incurring Lily's<br>wrath.", "0.32639009270185065", "82.20424671385237"], ["@user otherwise you're committing a crime against your soul<br>only sober ppl know what is good or bad for themselves", "0.34675520791539116", "82.6086956521739"], ["And she got all angry telling me 'but what would be doing a<br>40 year old guy looking for a girl like you' and I felt", "0.36712032312893167", "82.86147623862487"], ["And she got all angry telling me 'but what would be doing a<br>40 year old guy looking for a girl like you' and I felt", "0.36712032312893167", "82.86147623862487"], ["@user impossible to say. We can only hope that I don\u2019t<br>unwittingly trigger her ferocious side again. Hell hath no<br>fury..", "0.3874854383424722", "83.56926188068756"], ["@user You have no Police credentials-You were a litigator.<br>Nothing more-No Experience. #Sad #TrumpPuppet #Felon <br>#jersey4sale", "0.4078505535560127", "83.87259858442872"], ["@user @user lol @ ur caste. even if the whole village dies..<br>a massali like you cant be a chaudhry:) so cheer up massali<br>:)", "0.4119211685657501", "83.9737108190091"], ["A black female LEO\ud83d\udc99 was shot 8 times and died in Philadelphi-<br>a --Where's the #outrage black people? @user #Sharpton #blm<br>#TheFive", "0.42821566876955325", "84.22649140546007"], ["@user I think just becz u have so much terror in pak nd<br>urself being  a leader u forgot d difference btw a leader nd<br>terrorist !", "0.44858078398309376", "84.47927199191102"], ["wow if i need to start over on SIF im prob gonna just die", "0.46894589919663426", "84.78260869565217"], ["Hate when guys cant control their anger \ud83d\ude43\ud83d\ude43", "0.48931101441017477", "84.98483316481294"], ["Tired of people pretending Islam isn't one of the most<br>misogynistic religions, it's no coincidence Muslim countries<br>are terrible for women.", "0.5096761296237152", "85.49039433771486"], ["@user Not good. Rats nest get rid of them before they chew<br>your wiring $$$$. I also heard they hate the smell of pine<br>sol.", "0.5300412448372558", "85.9453993933266"], ["@user  is like the big bully in class ruining everyone's<br>lunch but instead of taking our lunch money they took away<br>family feud", "0.5313595676422119", "85.99595551061678"], ["@user \\nIf this room was burning \ud83d\udd25", "0.5504063600507962", "86.19817997977755"], ["last nigt i dreamt \\nthat somebody loved me\\nno hope no<br>harm\\njust another false alarm", "0.5707714752643368", "86.45096056622852"], ["At #UNGA Pakistan clearly shows the face of cowardliness and<br>blatant lies! Its time for #India to act upon terror.", "0.5911365904778773", "86.95652173913044"], ["@user @user like going to a so called cardiac arrest that<br>turned out to be a cut finger! #fuming #medchat", "0.6115017056914178", "87.36097067745197"], ["No offense to the girl next to me but dousing yourself with<br>cheap cologne won't hide your rank smell", "0.6318668209049583", "87.66430738119313"], ["Thousands of pickled dunder-headed anthracites ! #furious", "0.650293354988098", "87.96764408493428"], ["Is it okay to think you are going to die alone? #sadness", "0.6522319361184988", "88.01820020222446"], ["I really hate Mel and Sue. They think they're hilarious and<br>they're just awful", "0.6725970513320394", "88.52376137512638"], ["White people irritate me.", "0.6929621665455798", "88.77654196157735"], ["Ive always wondered how long Angelina put up with Brad's<br>crap. Not gon lie \ud83d\ude10", "0.7133272817591204", "89.02932254802832"], ["Honestly fuming", "0.7336923969726609", "89.48432760364004"], ["A MOMENT:\\nIf you kill it in the spirit, it will die in the<br>natural!!!'-@PRINCESSTAYE  #murder #suicide #depression<br>#racism #pride", "0.7540575121862014", "89.83822042467139"], ["@user @user you should force your neighbours to pay that! <br>Those people have some nerve!!!  #Victim", "0.7571014583110809", "89.98988877654196"], ["Dad asked if I was too hungover to function today. Little<br>does he know I stayed sober last night so i could get shit<br>faced tonight \ud83d\ude05", "0.7744226273997419", "90.24266936299293"], ["@user Omg you're savage prof, this is hilarious \ud83e\udd23\ud83e\udd23", "0.7947877426132824", "90.79878665318503"], ["@user @user @user I believe ur mekka n madina also dikling<br>which u kiss. A dark dirty one", "0.8151528578268229", "91.35490394337715"], ["@user They wanna bully the Inhuman.", "0.8355179730403635", "91.86046511627907"], ["i leave in 3 days and just now remembered that my car has<br>massaging seats :/ #crap", "0.8427433180809024", "91.96157735085946"], ["@user @user @user @user so you were owned by losers on<br>Twitter", "0.855883088253904", "92.26491405460061"], ["I'm done with your piano, blues playing, smooth talking ass.<br>On to the nexttt", "0.8762482034674445", "92.61880687563195"], ["Bloody parking ticket \ud83d\ude12\ud83d\udcb8 #fuming", "0.896613318680985", "93.22548028311425"], ["Importing shit is not new. If you want it, take the steps<br>necessary to get it. But don't sit and pout over Japan doing<br>what it's ALWAYS done", "0.9169784338945255", "93.83215369059656"], ["You know, you're pro-actively playful. You want to press<br>your boobs into my face, Tatenashi. I'm not saying no,<br>though. =3", "0.9249037623405457", "93.98382204246714"], ["So I now have 3 pairs of shit arsehole neighbours; Any<br>advice? #noisy #norespect #bigbuilding #awful #killinginthen-<br>ameof", "0.937343549108066", "94.38827098078868"], ["@user @user  She never said anything about taking away guns<br>but I would now bc of your stupid scare tactics for gun<br>sales.Sickening", "0.9577086643216065", "95.14661274014156"], ["@user @user @user @user These interviews scare the crap out<br>of me. I never imagined so many dumb, dumb Americans.", "0.9761599564552308", "95.95551061678464"], ["they think they're The Shit when they ain't shit gdi im<br>bursting with anger", "0.9780737795351471", "96.1577350859454"], ["@user Jerrrrrr a woman is been stabbed in the face and now<br>guys r arguing about her ass being real or not hehehee", "0.9937391817569733", "97.97775530839232"], ["WHY TF DO BROKE BOYS KEEP TRYNA FIND GF's? GET UR FUCKIN $$$<br>RIGHT B4 I SMACK YO BITCHASS, she deserves 2be happy &amp; u<br>don't deserve that ass", "0.9984388947486876", "99.9494438827098"]], "fill": "tozeroy", "fillcolor": "rgba(179, 106, 106, 0.7)", "hovertemplate": "<b>Toxicity</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(179, 106, 106, 1)", "shape": "linear", "width": 5}, "name": "Lower Outliers", "x": [0.0005482492852024, 0.000651479411171698, 0.00070834455313154, 0.000758334838319552, 0.0008079900569282361, 0.00087409288971681, 0.0009512232220730921, 0.0010063811508006619, 0.0010802826052531, 0.001200572103261932, 0.0013341463170945, 0.00149628727463998, 0.0017046318110078395, 0.001996081736870094, 0.0023293353337794044, 0.002758397022262131, 0.0032384655904024117, 0.0039793910272418985, 0.004598143175244281, 0.005552215641364392, 0.00664636716246598, 0.007936222553253141, 0.009283001124858812, 0.011302025932818649, 0.013005241751670822, 0.015353932045400101, 0.017642429545521702, 0.020379165336489646, 0.020913364498742915, 0.02431756094098086, 0.029449141174554796, 0.03388683423399924, 0.04058038428425785, 0.04127847971228343, 0.047738511711358955, 0.05577494144439696, 0.06164359492582394, 0.06708654820919038, 0.08200871013936446, 0.08271405547857284, 0.10080594986677163, 0.10237382535290497, 0.11866601198911665, 0.12273894056644549, 0.143104055779986, 0.14611617624759665, 0.1634691709935265, 0.1756714862585067, 0.18383428620706702, 0.20419940142060752, 0.22456451663414806, 0.24492963184768857, 0.2466599732637407, 0.26529474706122913, 0.28565986227476964, 0.30602497748831015, 0.3198224496841435, 0.32639009270185065, 0.34675520791539116, 0.36712032312893167, 0.36712032312893167, 0.3874854383424722, 0.4078505535560127, 0.4119211685657501, 0.42821566876955325, 0.44858078398309376, 0.46894589919663426, 0.48931101441017477, 0.5096761296237152, 0.5300412448372558, 0.5313595676422119, 0.5504063600507962, 0.5707714752643368, 0.5911365904778773, 0.6115017056914178, 0.6318668209049583, 0.650293354988098, 0.6522319361184988, 0.6725970513320394, 0.6929621665455798, 0.7133272817591204, 0.7336923969726609, 0.7540575121862014, 0.7571014583110809, 0.7744226273997419, 0.7947877426132824, 0.8151528578268229, 0.8355179730403635, 0.8427433180809024, 0.855883088253904, 0.8762482034674445, 0.896613318680985, 0.9169784338945255, 0.9249037623405457, 0.937343549108066, 0.9577086643216065, 0.9761599564552308, 0.9780737795351471, 0.9937391817569733, 0.9984388947486876], "y": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "type": "scatter", "uid": "dea82dff-9819-49e3-9abc-4416226a2c12"}, {"customdata": [["@user Happy to help :) If there is anything we can do for<br>you please don't hesitate to ask. - Thanks - James K", "0.0005482492852024", "0.0"], ["Here in South Bend, IN, Quad Cities River Bandits leading<br>the SB Cubs 3-0. Organist v fond of   'Master of the House'<br>from 'Les Miz.' #sadly", "0.000651479411171698", "2.0222446916076846"], ["@user awe feels or que :,(", "0.00070834455313154", "4.044489383215369"], ["'...built in #order to #start #afresh. Such #thoughts caused<br>#energy to #flag, and #people concerned...' (The #City CoA)", "0.000758334838319552", "6.016177957532862"], ["I saw those dreams dashed &amp;&amp; divided like a million<br>stars in the night sky that I wished on over &amp;&amp; over<br>again ~ sparkling &amp;&amp; broken.", "0.0008079900569282361", "8.038422649140546"], ["\u201c My courage always rises at every attempt to intimidate<br>me.\u201d\\n-Elizabeth Bennett (Pride and Prejudice)\\n#Quotes<br>#Courage #FaceYourFears", "0.00087409288971681", "10.010111223458038"], ["Cream tea @user #delicious", "0.0009512232220730921", "12.032355915065724"], ["Harden not your heart, as in the provocation, and as in the<br>day of temptation in the wilderness: - Psalm 95:8 KJV", "0.0010063811508006619", "14.004044489383215"], ["@user aw, you make me smile, too.\ud83d\ude09\ud83d\ude18", "0.0010802826052531", "16.0262891809909"], ["\u260aFocusing primarily on the person you\u2019re talking to rather<br>than yourself and the impression you\u2019re making lessens<br>social anxiety.", "0.001200572103261932", "17.99797775530839"], ["It's simple I get after two shots of espresso 'Grande,<br>decaf, 130 degrees soy americano with extra foam' #barista", "0.0013341463170945", "20.020222446916076"], ["The snaps/Insta pics I see of the friends I made while in<br>Cali are so unbelievably depressing cause there's no place<br>I'd rather be but there", "0.00149628727463998", "21.99191102123357"], ["mmmm i'm kinda sad i hope i can shake this before school", "0.0017046318110078395", "24.014155712841255"], ["@user it would be great but what if the card crashes \ud83d\ude31. It's<br>happened to me twice #nightmare", "0.001996081736870094", "26.036400404448937"], ["@user It's so sad! There's always such optimism with a new<br>year. This is...not good. @user @user", "0.0023293353337794044", "28.00808897876643"], ["&gt;.&lt; too much clutter in my brain with recent little<br>changes that I haven't yet processed... #dying #panic<br>#IveBeenBusierWhyAmIOverwhelmed :(", "0.002758397022262131", "30.030333670374116"], ["@user just had a steak pie supper", "0.0032384655904024117", "32.00202224469161"], ["@user BLM was outraged by the shooting in NC the other day,<br>turns out the guy pointed gun at police. Wait for facts<br>before outrage", "0.0039793910272418985", "34.02426693629929"], ["Come here, let me do whatever I do with it. #dismal", "0.004598143175244281", "35.99595551061678"], ["3years today marks the anniversary of that horrid Westgate<br>Attack in Nairobi. My heart out to all those of us who lost<br>our family &amp; friends\ud83d\udd6f", "0.005552215641364392", "38.01820020222447"], ["@user @user I was so looking forward to @user Then it opened<br>with a #stuartspecial. I literally yelled at my tv.<br>#umbrage", "0.00664636716246598", "39.98988877654196"], ["I seriously miss #ahsaftershow with @user and @user I need<br>to talk about the mamasitas and the hunks of horror.", "0.007936222553253141", "42.01213346814965"], ["and apparently he's supposed to have a Scottish accent???<br>I'm #offended", "0.009283001124858812", "43.98382204246714"], ["@user timid but determined version of the rabid beasts<br>beyond the land. Growling beneath my restrained breath, I<br>//rip// myself --", "0.011302025932818649", "46.00606673407482"], ["@user #klitschko @user over fury any day #boxing", "0.013005241751670822", "47.97775530839232"], ["@user all of this!If the GOP continues to back this mob<br>connected man you will have tremendous regret in 2018 the<br>voters will make sure", "0.015353932045400101", "50.0"], ["They say ur a prdct of ur surroundings. A bit intimidated by<br>the crazy amazing ppl I met @ @user @user @user @user", "0.017642429545521702", "52.02224469160768"], ["my school photo is honestly horrid, i look so ew\ud83d\ude05", "0.020379165336489646", "53.99393326592518"], ["@user @user @user @user Even the painting is orange! <br>#terrible #Election2016", "0.020913364498742915", "54.398382204246715"], ["@user (Maybe don't provoke him in the future if you do not<br>want to run the risk of him punching your board.)", "0.02431756094098086", "56.01617795753286"], ["@user Oh noooo!  #nomorehammocks #nightmare ;)", "0.029449141174554796", "57.98786653185035"], ["Me: *sees incense burner* is this for drugs?", "0.03388683423399924", "60.01011122345804"], ["My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! <br>#TerenceCrutcher", "0.04058038428425785", "61.98179979777553"], ["\u201cDo not fret if you are not cool! Humans who follow me,<br>become instantly cool!\u201d #Bot", "0.04127847971228343", "62.28513650151668"], ["Saddest part about messing up both my legs/ankles? I miss<br>heels. Being a 7fg giant was fun. #sadness", "0.047738511711358955", "64.00404448938322"], ["Me: How much price for this poster of this sexy man? Sales<br>Clerk: That's a mirror, sir.\\n #LaughOutLoud", "0.05577494144439696", "65.9757330637007"], ["@user haha! She did well today. I can't get beyond her pout<br>annoying me I'm afraid.", "0.06164359492582394", "67.08796764408494"], ["@user way to go #London. Nice job electing a #muslim<br>#jihadist for mayor. Good luck with your future #terror<br>attacks #sadiqkhan", "0.06708654820919038", "67.9979777553084"], ["Just paid for chicken at @user and didn't even get any \ud83d\ude11\ud83d\ude11\ud83d\ude11<br>there goes 4 dollars and me as a customer #angry", "0.08200871013936446", "69.8685540950455"], ["So drunk me hid my keys very well sober me couldn't find it<br>anywhere", "0.08271405547857284", "69.96966632962588"], ["When you have 15 doe run the opposite side of you \ud83d\ude41", "0.10080594986677163", "71.99191102123356"], ["Being forced into a fake hug by someone who didn\u2019t flinch to<br>get litigious with you in the past - #awful \ud83d\ude16\ud83d\udc7a\ud83d\ude45", "0.10237382535290497", "72.4974721941355"], ["The man who is a pessimist before 48 knows too much; if he<br>is an optimist after it, he knows too little.'\\n-Mark Twain", "0.11866601198911665", "73.96359959555106"], ["Yo Yo Yo,my name is #DarthVader \\nI feel like I need to puff<br>on my inhaler (I'm no rapper but that was some sick bars) <br>#bars #rap", "0.12273894056644549", "74.4186046511628"], ["@user that is one thing but attacking and hating is worse -<br>that makes us just like the angry vengeful behavior we<br>detest", "0.143104055779986", "75.83417593528817"], ["Article 370 must be abolished. Human rights must be denied<br>to these NGOs, Separatist n terrorists who advocate peace n<br>terrorism. @user", "0.14611617624759665", "75.98584428715874"], ["@user awe thanks morgs!!! love u lots girly \u2764\ufe0f\ud83d\ude0a\u2764\ufe0f", "0.1634691709935265", "77.24974721941355"], ["I thought the eclipse would make it not so damn hot outside<br>today #disappointment", "0.1756714862585067", "78.00808897876644"], ["@user \\nIsn't OBrien supposed to be some sort of offensive<br>genius #awful", "0.18383428620706702", "78.26086956521739"], ["#Drunk people annoy me when I'm #sober lol. | #fact<br>#TeamFollowBack #RockTheReTweet", "0.20419940142060752", "78.96865520728008"], ["When you baby has their first temperature and all you do is<br>worry #firsttimemum #firsttimemom #newborn #baby #sickbaby<br>#worry", "0.22456451663414806", "79.57532861476238"], ["Once you've been hurt, you're so scared to get attached<br>again, you have a fear that every person is going to break<br>your \u2764\ufe0f\ud83d\udcaf", "0.24492963184768857", "79.92922143579374"], ["The war is right outside your door #rage #USAToday", "0.2466599732637407", "79.97977755308392"], ["@user Sir, people need revenge", "0.26529474706122913", "80.58645096056622"], ["@user Don King is an insult to the intelligence of the Black<br>Community.  What are these people thinking?", "0.28565986227476964", "81.14256825075834"], ["IK to PMLN: 'Darling, I will haunt you in your nightmares,<br>dressed like a dream.' BEST THING EVER. #GameOverNawaz", "0.30602497748831015", "81.79979777553083"], ["@user Old age?! No hope for the rest of us. Destined to<br>become deatheaters by 50", "0.3198224496841435", "82.0020222446916"], ["@user @user @user @user He also likes incurring Lily's<br>wrath.", "0.32639009270185065", "82.20424671385237"], ["@user otherwise you're committing a crime against your soul<br>only sober ppl know what is good or bad for themselves", "0.34675520791539116", "82.6086956521739"], ["And she got all angry telling me 'but what would be doing a<br>40 year old guy looking for a girl like you' and I felt", "0.36712032312893167", "82.86147623862487"], ["And she got all angry telling me 'but what would be doing a<br>40 year old guy looking for a girl like you' and I felt", "0.36712032312893167", "82.86147623862487"], ["@user impossible to say. We can only hope that I don\u2019t<br>unwittingly trigger her ferocious side again. Hell hath no<br>fury..", "0.3874854383424722", "83.56926188068756"], ["@user You have no Police credentials-You were a litigator.<br>Nothing more-No Experience. #Sad #TrumpPuppet #Felon <br>#jersey4sale", "0.4078505535560127", "83.87259858442872"], ["@user @user lol @ ur caste. even if the whole village dies..<br>a massali like you cant be a chaudhry:) so cheer up massali<br>:)", "0.4119211685657501", "83.9737108190091"], ["A black female LEO\ud83d\udc99 was shot 8 times and died in Philadelphi-<br>a --Where's the #outrage black people? @user #Sharpton #blm<br>#TheFive", "0.42821566876955325", "84.22649140546007"], ["@user I think just becz u have so much terror in pak nd<br>urself being  a leader u forgot d difference btw a leader nd<br>terrorist !", "0.44858078398309376", "84.47927199191102"], ["wow if i need to start over on SIF im prob gonna just die", "0.46894589919663426", "84.78260869565217"], ["Hate when guys cant control their anger \ud83d\ude43\ud83d\ude43", "0.48931101441017477", "84.98483316481294"], ["Tired of people pretending Islam isn't one of the most<br>misogynistic religions, it's no coincidence Muslim countries<br>are terrible for women.", "0.5096761296237152", "85.49039433771486"], ["@user Not good. Rats nest get rid of them before they chew<br>your wiring $$$$. I also heard they hate the smell of pine<br>sol.", "0.5300412448372558", "85.9453993933266"], ["@user  is like the big bully in class ruining everyone's<br>lunch but instead of taking our lunch money they took away<br>family feud", "0.5313595676422119", "85.99595551061678"], ["@user \\nIf this room was burning \ud83d\udd25", "0.5504063600507962", "86.19817997977755"], ["last nigt i dreamt \\nthat somebody loved me\\nno hope no<br>harm\\njust another false alarm", "0.5707714752643368", "86.45096056622852"], ["At #UNGA Pakistan clearly shows the face of cowardliness and<br>blatant lies! Its time for #India to act upon terror.", "0.5911365904778773", "86.95652173913044"], ["@user @user like going to a so called cardiac arrest that<br>turned out to be a cut finger! #fuming #medchat", "0.6115017056914178", "87.36097067745197"], ["No offense to the girl next to me but dousing yourself with<br>cheap cologne won't hide your rank smell", "0.6318668209049583", "87.66430738119313"], ["Thousands of pickled dunder-headed anthracites ! #furious", "0.650293354988098", "87.96764408493428"], ["Is it okay to think you are going to die alone? #sadness", "0.6522319361184988", "88.01820020222446"], ["I really hate Mel and Sue. They think they're hilarious and<br>they're just awful", "0.6725970513320394", "88.52376137512638"], ["White people irritate me.", "0.6929621665455798", "88.77654196157735"], ["Ive always wondered how long Angelina put up with Brad's<br>crap. Not gon lie \ud83d\ude10", "0.7133272817591204", "89.02932254802832"], ["Honestly fuming", "0.7336923969726609", "89.48432760364004"], ["A MOMENT:\\nIf you kill it in the spirit, it will die in the<br>natural!!!'-@PRINCESSTAYE  #murder #suicide #depression<br>#racism #pride", "0.7540575121862014", "89.83822042467139"], ["@user @user you should force your neighbours to pay that! <br>Those people have some nerve!!!  #Victim", "0.7571014583110809", "89.98988877654196"], ["Dad asked if I was too hungover to function today. Little<br>does he know I stayed sober last night so i could get shit<br>faced tonight \ud83d\ude05", "0.7744226273997419", "90.24266936299293"], ["@user Omg you're savage prof, this is hilarious \ud83e\udd23\ud83e\udd23", "0.7947877426132824", "90.79878665318503"], ["@user @user @user I believe ur mekka n madina also dikling<br>which u kiss. A dark dirty one", "0.8151528578268229", "91.35490394337715"], ["@user They wanna bully the Inhuman.", "0.8355179730403635", "91.86046511627907"], ["i leave in 3 days and just now remembered that my car has<br>massaging seats :/ #crap", "0.8427433180809024", "91.96157735085946"], ["@user @user @user @user so you were owned by losers on<br>Twitter", "0.855883088253904", "92.26491405460061"], ["I'm done with your piano, blues playing, smooth talking ass.<br>On to the nexttt", "0.8762482034674445", "92.61880687563195"], ["Bloody parking ticket \ud83d\ude12\ud83d\udcb8 #fuming", "0.896613318680985", "93.22548028311425"], ["Importing shit is not new. If you want it, take the steps<br>necessary to get it. But don't sit and pout over Japan doing<br>what it's ALWAYS done", "0.9169784338945255", "93.83215369059656"], ["You know, you're pro-actively playful. You want to press<br>your boobs into my face, Tatenashi. 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Are you kidding me with this? I thought Pence was<br>bad but they had to go even farther!", "-0.8775510204081632", "2.679474216380182"], ["@user OMG! Are you kidding me with this? I thought Pence was<br>bad but they had to go even farther!", "-0.8775510204081632", "2.679474216380182"], ["@user @user  horrible experience with a company like this<br>#goldmedal #horrible sales person #wrong commitments#wrongpr-<br>oduct", "-0.8367346938775511", "2.730030333670374"], ["@user Bullies, rudeness and littering all make me #mad!", "-0.7959183673469388", "3.6905965621840244"], ["Wine drunk is the worst version of myself ffs, don't even<br>remember seeing basshunter", "-0.7551020408163265", "3.7411526794742165"], ["Yo Yo Yo,my name is #DarthVader \\nI feel like I need to puff<br>on my inhaler (I'm no rapper but that was some sick bars) <br>#bars #rap", "-0.7142857142857143", "4.448938321536906"], ["@user @user @user @user @user awe I feel so bad being naive<br>ou is the worst", "-0.6734693877551021", "5.51061678463094"], ["@user @user Don't be silly - she doesn't want to scare them<br>off! \ud83d\ude06", "-0.6326530612244898", "5.763397371081901"], ["Having a nail half hanging off is absolutely fucking grim,<br>even with my acrylic holding it on \ud83d\ude37\ud83d\ude37", "-0.5918367346938775", "7.836198179979777"], ["I wouldn't wish anxiety and depression even on the worst of<br>people. It's not fun. #anxiety #depression", "-0.575", "7.987866531850354"], ["# ISIS REFERENCES SCRUBBED?  Federal complaint against<br>suspect in NYC, NJ bombings appears to omit terror names in<br>bloody journ...  #news", "-0.5510204081632654", "8.240647118301315"], ["@user @user Prudence suggests that a 8+% bump over 2-3 weeks<br>should be viewed with SKEPTICISM. Media/HRC axis #angry", "-0.5102040816326531", "8.897876643073811"], ["It's sad when your man leaves work a little bit late and<br>your worst fear is 'Oh no!! Did he get stopped by the<br>police?!?! '  #ourworld", "-0.49924999999999997", "12.032355915065724"], ["What a raucous crowd today @user #GCSArtsPD17! How often<br>does one hear applause and cheers at PD?! #excitement @user<br>@user", "-0.4693877551020409", "12.285136501516684"], ["This anger inside I turned to fuel, I burned and watched<br>myself spin down, like inferno types,", "-0.4285714285714286", "13.346814964610719"], ["Dehydrated, exhausted, stressed but still blessed.<br>#optimism", "-0.4", "13.902932254802831"], ["@user haha! She did well today. I can't get beyond her pout<br>annoying me I'm afraid.", "-0.3877551020408164", "14.964610717896866"], ["@user @user shot by black police woman Typical looney toon<br>thinking.#Hillary #divide #anger #chaos", "-0.34693877551020413", "15.975733063700709"], ["@user seriously dude buy some bubble tape for your phones.<br>#snap broke another phone", "-0.3408888888888889", "16.0262891809909"], ["@user He has had a dreadful first half, not to mention<br>rashford would've got on the end of a couple of those<br>through balls #pace", "-0.30612244897959184", "17.49241658240647"], ["So depressing that it's darker so much earlier now", "-0.3", "17.542972699696662"], ["At #UNGA Pakistan clearly shows the face of cowardliness and<br>blatant lies! Its time for #India to act upon terror.", "-0.26530612244897966", "19.464105156723964"], ["My roommate: it's okay that we can't spell because we have<br>autocorrect. #terrible #firstworldprobs", "-0.25", "19.716885743174924"], ["#Never be #afraid to #start over, it's a #new #chance to<br>#rebuild what you want! \ud83d\udd28\ud83d\udd29\ud83c\udfe2", "-0.22448979591836737", "21.73913043478261"], ["I want to pour all my tears on someone right now. So tired<br>of this #upset #sad", "-0.2048511904761904", "21.99191102123357"], ["Im really constipated. This is depressing", "-0.1999999999999999", "23.91304347826087"], ["@user That rap reminds me of when the kids were small and<br>they would prepare a performance #cute #crap \ud83d\ude02", "-0.1836734693877552", "24.317492416582407"], ["How is it suppose to work if you do that? Wtf dude? Thanks<br>for pissing me off.", "-0.15", "25.935288169868553"], ["#jeremyvine take a slightly dull subject and makes it so<br>tediously boring you actually want to rip your own throat<br>out!", "-0.1428571428571429", "26.643073811931245"], ["Sometimes I like to talk about my sadness.  Other times, I<br>just want to be distracted by friends, laughter, shopping,<br>eating...  \\n\\n#MHChat", "-0.125", "27.24974721941355"], ["#ObamaLegacy - weekly #riots and #terror attacks, &gt;400k<br>dead #Syrians, #Jews fleeing #persecution in Europe,<br>#Christian #genocide in ME.....", "-0.10204081632653073", "28.51365015166835"], ["While I was walking, a little boy in a red shirt(5/6 years<br>of age) shouting from a distance of 3 meters, in a jovial<br>manner saying...", "-0.09562499999999968", "30.030333670374116"], ["@user @user @user @user @user Apparently nothing like the<br>terror cops have of black people.", "-0.061224489795918435", "31.85035389282103"], ["Karma is real bitch \ud83d\udd95\ud83c\udffcyou can't just be mean and do horrid<br>things without paying the price \ud83d\ude02", "-0.05624999999999993", "32.00202224469161"], ["So what they do is act covertly and it turns out that they<br>are aware of each other and fear punishment for wanting to<br>destroy others.", "-0.027277777777777536", "34.02426693629929"], ["@user @user u gave Laura so much constructive criticism she<br>blocked u 'Lazy Give Up Now No Hope Retire' same with<br>Heather", "-0.020408163265306145", "34.27704752275025"], ["#NewYork: Several #Baloch &amp; Indian activists hold<br>demonstrations outside @user headquarters demanding Pak to<br>stop exporting #terror into India", "0.0", "34.883720930232556"], ["Wow... One of my dads top favorite throwback rappers just<br>died in a fiery car crash today in Atlanta, so sad so sad<br>\ud83d\ude37\ud83d\ude37", "0.019614285714286056", "65.9757330637007"], ["@user Virtually every statement by other countries at #UN<br>has referred to #terror as main threat to peace, #Pak still<br>in denial.", "0.020408163265306145", "66.0262891809909"], ["@user It'll be easy to spot the parade of tiny weans in<br>expensive jammies. Really is hilarious!", "0.06122448979591821", "67.84630940343781"], ["@user Then u understand that rage is often not pretty, or<br>controlled or rational - it is often visceral-not always<br>logical.", "0.0625", "67.89686552072801"], ["final vestiges of my 90's childhood were just dashed on the<br>shoals of hearing a house cover of Tracy Chapman's 'fast<br>car' at the dayjob", "0.1", "69.31243680485339"], ["Lucky enough to not burn off ALL of my right eye lashes,<br>unlucky enough to burn them just short enough to irritate<br>all of my OCD tendencies", "0.1020408163265305", "70.62689585439838"], ["It's a good day at work when you get to shake Jim Lehrer's<br>hand. Thanks, @user Still kicking myself for being to shy to<br>hug @user", "0.1333333333333333", "71.840242669363"], ["The war is right outside your door #rage #USAToday", "0.1428571428571428", "72.90192113245703"], ["Happy birthday to Stephen King, a man responsible for some<br>of the best horror of the past 40 years... and a whole bunch<br>of the worst.", "0.15829166666666666", "73.96359959555106"], ["Im kind of confused.  The one thing i do right now has a<br>great future, but on the other hand so does the new thing .<br>#lost #needhelp", "0.18367346938775508", "74.62082912032356"], ["As I remember and reflect on Reginald Denny on a night much<br>like this (like #Charlotte) I think to myself, the gun lobby<br>must be rejoicing.", "0.2", "75.37917087967644"], ["Don't be afraid to give up the good to go for the great. -<br>John D. Rockefeller #quote #inspiration #afraid #great<br>#motivation", "0.2182909090909089", "78.00808897876644"], ["When we are weak &amp; in despair, our Mighty God is near;He<br>will give us strength &amp; joy &amp; hope, &amp; calm our<br>inner fear, just have faith &amp; trust.", "0.22448979591836715", "78.05864509605662"], ["@user I think just becz u have so much terror in pak nd<br>urself being  a leader u forgot d difference btw a leader nd<br>terrorist !", "0.25", "78.61476238624874"], ["@user Same it's good but not great.Don't Breathe is the<br>horror film of the month for me. My Fav horror film of the<br>year (so far)", "0.26530612244897944", "80.99089989888776"], ["Three more shifts then I start the next part of my tutorship<br>in response #enjoyingthelastfewdays #excited #nervous<br>#newchallanges", "0.2916666666666667", "81.95146612740142"], ["@user SPARKLES, proud little huff. Still posing mind you.", "0.30612244897959173", "83.46814964610718"], ["It is too fucking bright &amp; too fucking hot outside", "0.3156969696969699", "83.9737108190091"], ["Dark, dense, and exhilarating come the finale, #HellOrHighWa-<br>ter is a gripping watch.", "0.346938775510204", "85.03538928210314"], ["Anybody know a good place to book a show in #Montreal on<br>short but not super-short notice? #punkrock #postpunk<br>#blues", "0.35", "85.08594539939332"], ["My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! <br>#TerenceCrutcher", "0.3877551020408163", "87.46208291203236"], ["@user brings back great memories of hilarity on #SATURDAYNIG-<br>HTLIVE", "0.4", "87.71486349848331"], ["Everybody's worried about stopping #terrorism. Well, there's<br>a really easy way: stop participating in it. -  Noam<br>Chomsky", "0.4285714285714284", "89.18099089989889"], ["Niggas never changed...even as a kid and a 29 year old, in<br>his interviews, seems jovial and happy after death of his<br>sister...he did it", "0.45", "89.83822042467139"], ["@user : Thank you so much, Gloria! You're so sweet, and<br>thoughtful! You just made my day more joyful! I love you<br>too! \ud83d\ude0a\ud83d\udc95", "0.46938775510204067", "90.54600606673408"], ["The point of living, and being an optimist, is to be foolish<br>enough to believe the best is yet to come' - Peter Ustinov<br>#optimism #quote", "0.5", "90.79878665318503"], ["@user happy birthday :) have a blessed day love from Toronto<br>:) #bday #smile", "0.510204081632653", "94.08493427704752"], ["@user happy birthdayyyyyy pretty. Miss you!", "0.5510204081632653", "94.48938321536906"], ["@user @user wow!! My bill is \u00a344.77 and hav a text from u to<br>prove that and you have taken \u00a3148!!!!! #swines  #con!", "0.5918367346938773", "94.74216380182003"], ["When my friends send me ballons and fireworks through<br>text... #amazing", "0.6000000000000001", "95.90495449949444"], ["don't put famous dex in a tweet with breezy lol chris is<br>that guy dex a bitch lmao n music ass", "0.6326530612244896", "96.25884732052579"], ["Just had #efficient #great #smiling service @user store.<br>Impressive team of geniuses ready to redefine what customer<br>service is!", "0.6734693877551019", "96.8149646107179"], ["@user #horror H3LL I SURE DID!!! LOL\\nHappy about this<br>decision. :)", "0.7142857142857142", "97.4721941354904"], ["Going to #BigApple tomorrow! Loving #NJTransit #commute!<br>Wearing #khakis #whiteshirt #maybeblue #brownshoes #macys<br>#joy #jealousyet?\\n#usa", "0.7551020408163265", "97.72497472194135"], ["Autocorrect changes ''em' to 'me' which I resent greatly", "0.7959183673469385", "97.87664307381193"], ["Good morning chirpy #SpringEquinox and your pensive sister<br>#AutumnEquinox A perfect day however it is expressed \ud83c\udf39\ud83c\udf41\ud83c\udf13\u262f\ufe0f<br>#theBeautyofBalance", "0.8367346938775508", "98.73609706774519"], ["@user he's brilliant, lost the joyous plot with us that<br>year. Admits being a fan now after that.", "0.8775510204081631", "98.93832153690596"], ["in love with @user  insta!!!...", "0.9183673469387754", "99.14054600606673"], ["in love with @user  insta!!!...", "0.9183673469387754", "99.14054600606673"], ["Happy Birthday, LOST! / #lost #dharmainitiative #12years<br>#22september2004 #oceanic815", "1.0", "99.19110212335693"]], "fill": "tozeroy", "fillcolor": "rgba(105, 179, 162, 0.7)", "hovertemplate": "<b>Sentiment</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(105, 179, 162, 1)", "shape": "linear", "width": 5}, "name": "Common", "x": [-1.0, -0.9591836734693877, -0.8775510204081632, -0.8775510204081632, -0.8367346938775511, -0.7959183673469388, -0.7551020408163265, -0.7142857142857143, -0.6734693877551021, -0.6326530612244898, -0.5918367346938775, -0.575, -0.5510204081632654, -0.5102040816326531, -0.49924999999999997, -0.4693877551020409, -0.4285714285714286, -0.4, -0.3877551020408164, -0.34693877551020413, -0.3408888888888889, -0.30612244897959184, -0.3, -0.26530612244897966, -0.25, -0.22448979591836737, -0.2048511904761904, -0.1999999999999999, -0.1836734693877552, -0.15, -0.1428571428571429, -0.125, -0.10204081632653073, -0.09562499999999968, -0.061224489795918435, -0.05624999999999993, -0.027277777777777536, -0.020408163265306145, 0.0, 0.019614285714286056, 0.020408163265306145, 0.06122448979591821, 0.0625, 0.1, 0.1020408163265305, 0.1333333333333333, 0.1428571428571428, 0.15829166666666666, 0.18367346938775508, 0.2, 0.2182909090909089, 0.22448979591836715, 0.25, 0.26530612244897944, 0.2916666666666667, 0.30612244897959173, 0.3156969696969699, 0.346938775510204, 0.35, 0.3877551020408163, 0.4, 0.4285714285714284, 0.45, 0.46938775510204067, 0.5, 0.510204081632653, 0.5510204081632653, 0.5918367346938773, 0.6000000000000001, 0.6326530612244896, 0.6734693877551019, 0.7142857142857142, 0.7551020408163265, 0.7959183673469385, 0.8367346938775508, 0.8775510204081631, 0.9183673469387754, 0.9183673469387754, 1.0], "y": [null, null, null, 0.1086536869360955, 0.11430949048062469, 0.1299135032791112, 0.15176898225263435, 0.17765438612858037, 0.2083730158359968, 0.24505652281093138, 0.28560971566941323, 0.3020947729719408, 0.3237877319014351, 0.35234160119738434, 0.3578400176928291, 0.36860547422789025, 0.3777764825374449, 0.38542662427120056, 0.39002511797326544, 0.41384390691031164, 0.4186187252784712, 0.4526670947873526, 0.459880943153275, 0.50910383701599, 0.5366666726757234, 0.5946776362525336, 0.6537237318261295, 0.6707581891109232, 0.7364606295547207, 0.9188585470773196, 0.9661412128341359, 1.0964449485122603, 1.28311144830882, 1.3372472589983972, 1.6151233689202482, 1.650429850388301, 1.8082050028732615, 1.8307189443342726, 1.857809862560754, 1.8260951467063917, 1.8236585125517575, 1.6001173279596757, 1.5907354089963786, 1.2913522479005748, 1.2748958444463898, 1.041136620311351, 0.9798913896931625, 0.8925945571320886, 0.781260128951514, 0.7286445942988499, 0.6837759495849961, 0.6712790996615406, 0.6301432201276252, 0.610835293106578, 0.5821921103848378, 0.5676107369081302, 0.5581191181688728, 0.5274842706963653, 0.5245030252272181, 0.4882361035859007, 0.47669010914918003, 0.44980766186352683, 0.42907349737644535, 0.4092618994777275, 0.37494522084237236, 0.36259123364140705, 0.309568084809339, 0.25523136619191267, 0.24482894660935214, 0.2063714524684058, 0.16728310603824384, 0.13834658977029785, 0.11705692212739507, 0.10009697824800179, 0.08551283272293297, 0.07346101611386074, 0.06456648672660042, null, null], "type": "scatter", "uid": "98c38f47-798c-4854-a977-91d9f1fe3d75"}, {"customdata": [["@user stop the presses, @user said/proposed something<br>racist. #shocking", "-1.0", "0.0"], ["also i had an awful nightmare involving being sick where<br>worms were involved i was so disgusted when i woke up", "-0.9591836734693877", "2.3761375126390294"], ["@user OMG! Are you kidding me with this? I thought Pence was<br>bad but they had to go even farther!", "-0.8775510204081632", "2.679474216380182"], ["@user OMG! Are you kidding me with this? I thought Pence was<br>bad but they had to go even farther!", "-0.8775510204081632", "2.679474216380182"], ["@user @user  horrible experience with a company like this<br>#goldmedal #horrible sales person #wrong commitments#wrongpr-<br>oduct", "-0.8367346938775511", "2.730030333670374"], ["@user Bullies, rudeness and littering all make me #mad!", "-0.7959183673469388", "3.6905965621840244"], ["Wine drunk is the worst version of myself ffs, don't even<br>remember seeing basshunter", "-0.7551020408163265", "3.7411526794742165"], ["Yo Yo Yo,my name is #DarthVader \\nI feel like I need to puff<br>on my inhaler (I'm no rapper but that was some sick bars) <br>#bars #rap", "-0.7142857142857143", "4.448938321536906"], ["@user @user @user @user @user awe I feel so bad being naive<br>ou is the worst", "-0.6734693877551021", "5.51061678463094"], ["@user @user Don't be silly - she doesn't want to scare them<br>off! \ud83d\ude06", "-0.6326530612244898", "5.763397371081901"], ["Having a nail half hanging off is absolutely fucking grim,<br>even with my acrylic holding it on \ud83d\ude37\ud83d\ude37", "-0.5918367346938775", "7.836198179979777"], ["I wouldn't wish anxiety and depression even on the worst of<br>people. It's not fun. #anxiety #depression", "-0.575", "7.987866531850354"], ["# ISIS REFERENCES SCRUBBED?  Federal complaint against<br>suspect in NYC, NJ bombings appears to omit terror names in<br>bloody journ...  #news", "-0.5510204081632654", "8.240647118301315"], ["@user @user Prudence suggests that a 8+% bump over 2-3 weeks<br>should be viewed with SKEPTICISM. Media/HRC axis #angry", "-0.5102040816326531", "8.897876643073811"], ["It's sad when your man leaves work a little bit late and<br>your worst fear is 'Oh no!! Did he get stopped by the<br>police?!?! '  #ourworld", "-0.49924999999999997", "12.032355915065724"], ["What a raucous crowd today @user #GCSArtsPD17! How often<br>does one hear applause and cheers at PD?! #excitement @user<br>@user", "-0.4693877551020409", "12.285136501516684"], ["This anger inside I turned to fuel, I burned and watched<br>myself spin down, like inferno types,", "-0.4285714285714286", "13.346814964610719"], ["Dehydrated, exhausted, stressed but still blessed.<br>#optimism", "-0.4", "13.902932254802831"], ["@user haha! She did well today. I can't get beyond her pout<br>annoying me I'm afraid.", "-0.3877551020408164", "14.964610717896866"], ["@user @user shot by black police woman Typical looney toon<br>thinking.#Hillary #divide #anger #chaos", "-0.34693877551020413", "15.975733063700709"], ["@user seriously dude buy some bubble tape for your phones.<br>#snap broke another phone", "-0.3408888888888889", "16.0262891809909"], ["@user He has had a dreadful first half, not to mention<br>rashford would've got on the end of a couple of those<br>through balls #pace", "-0.30612244897959184", "17.49241658240647"], ["So depressing that it's darker so much earlier now", "-0.3", "17.542972699696662"], ["At #UNGA Pakistan clearly shows the face of cowardliness and<br>blatant lies! Its time for #India to act upon terror.", "-0.26530612244897966", "19.464105156723964"], ["My roommate: it's okay that we can't spell because we have<br>autocorrect. #terrible #firstworldprobs", "-0.25", "19.716885743174924"], ["#Never be #afraid to #start over, it's a #new #chance to<br>#rebuild what you want! \ud83d\udd28\ud83d\udd29\ud83c\udfe2", "-0.22448979591836737", "21.73913043478261"], ["I want to pour all my tears on someone right now. So tired<br>of this #upset #sad", "-0.2048511904761904", "21.99191102123357"], ["Im really constipated. This is depressing", "-0.1999999999999999", "23.91304347826087"], ["@user That rap reminds me of when the kids were small and<br>they would prepare a performance #cute #crap \ud83d\ude02", "-0.1836734693877552", "24.317492416582407"], ["How is it suppose to work if you do that? Wtf dude? Thanks<br>for pissing me off.", "-0.15", "25.935288169868553"], ["#jeremyvine take a slightly dull subject and makes it so<br>tediously boring you actually want to rip your own throat<br>out!", "-0.1428571428571429", "26.643073811931245"], ["Sometimes I like to talk about my sadness.  Other times, I<br>just want to be distracted by friends, laughter, shopping,<br>eating...  \\n\\n#MHChat", "-0.125", "27.24974721941355"], ["#ObamaLegacy - weekly #riots and #terror attacks, &gt;400k<br>dead #Syrians, #Jews fleeing #persecution in Europe,<br>#Christian #genocide in ME.....", "-0.10204081632653073", "28.51365015166835"], ["While I was walking, a little boy in a red shirt(5/6 years<br>of age) shouting from a distance of 3 meters, in a jovial<br>manner saying...", "-0.09562499999999968", "30.030333670374116"], ["@user @user @user @user @user Apparently nothing like the<br>terror cops have of black people.", "-0.061224489795918435", "31.85035389282103"], ["Karma is real bitch \ud83d\udd95\ud83c\udffcyou can't just be mean and do horrid<br>things without paying the price \ud83d\ude02", "-0.05624999999999993", "32.00202224469161"], ["So what they do is act covertly and it turns out that they<br>are aware of each other and fear punishment for wanting to<br>destroy others.", "-0.027277777777777536", "34.02426693629929"], ["@user @user u gave Laura so much constructive criticism she<br>blocked u 'Lazy Give Up Now No Hope Retire' same with<br>Heather", "-0.020408163265306145", "34.27704752275025"], ["#NewYork: Several #Baloch &amp; Indian activists hold<br>demonstrations outside @user headquarters demanding Pak to<br>stop exporting #terror into India", "0.0", "34.883720930232556"], ["Wow... One of my dads top favorite throwback rappers just<br>died in a fiery car crash today in Atlanta, so sad so sad<br>\ud83d\ude37\ud83d\ude37", "0.019614285714286056", "65.9757330637007"], ["@user Virtually every statement by other countries at #UN<br>has referred to #terror as main threat to peace, #Pak still<br>in denial.", "0.020408163265306145", "66.0262891809909"], ["@user It'll be easy to spot the parade of tiny weans in<br>expensive jammies. Really is hilarious!", "0.06122448979591821", "67.84630940343781"], ["@user Then u understand that rage is often not pretty, or<br>controlled or rational - it is often visceral-not always<br>logical.", "0.0625", "67.89686552072801"], ["final vestiges of my 90's childhood were just dashed on the<br>shoals of hearing a house cover of Tracy Chapman's 'fast<br>car' at the dayjob", "0.1", "69.31243680485339"], ["Lucky enough to not burn off ALL of my right eye lashes,<br>unlucky enough to burn them just short enough to irritate<br>all of my OCD tendencies", "0.1020408163265305", "70.62689585439838"], ["It's a good day at work when you get to shake Jim Lehrer's<br>hand. Thanks, @user Still kicking myself for being to shy to<br>hug @user", "0.1333333333333333", "71.840242669363"], ["The war is right outside your door #rage #USAToday", "0.1428571428571428", "72.90192113245703"], ["Happy birthday to Stephen King, a man responsible for some<br>of the best horror of the past 40 years... and a whole bunch<br>of the worst.", "0.15829166666666666", "73.96359959555106"], ["Im kind of confused.  The one thing i do right now has a<br>great future, but on the other hand so does the new thing .<br>#lost #needhelp", "0.18367346938775508", "74.62082912032356"], ["As I remember and reflect on Reginald Denny on a night much<br>like this (like #Charlotte) I think to myself, the gun lobby<br>must be rejoicing.", "0.2", "75.37917087967644"], ["Don't be afraid to give up the good to go for the great. -<br>John D. Rockefeller #quote #inspiration #afraid #great<br>#motivation", "0.2182909090909089", "78.00808897876644"], ["When we are weak &amp; in despair, our Mighty God is near;He<br>will give us strength &amp; joy &amp; hope, &amp; calm our<br>inner fear, just have faith &amp; trust.", "0.22448979591836715", "78.05864509605662"], ["@user I think just becz u have so much terror in pak nd<br>urself being  a leader u forgot d difference btw a leader nd<br>terrorist !", "0.25", "78.61476238624874"], ["@user Same it's good but not great.Don't Breathe is the<br>horror film of the month for me. My Fav horror film of the<br>year (so far)", "0.26530612244897944", "80.99089989888776"], ["Three more shifts then I start the next part of my tutorship<br>in response #enjoyingthelastfewdays #excited #nervous<br>#newchallanges", "0.2916666666666667", "81.95146612740142"], ["@user SPARKLES, proud little huff. Still posing mind you.", "0.30612244897959173", "83.46814964610718"], ["It is too fucking bright &amp; too fucking hot outside", "0.3156969696969699", "83.9737108190091"], ["Dark, dense, and exhilarating come the finale, #HellOrHighWa-<br>ter is a gripping watch.", "0.346938775510204", "85.03538928210314"], ["Anybody know a good place to book a show in #Montreal on<br>short but not super-short notice? #punkrock #postpunk<br>#blues", "0.35", "85.08594539939332"], ["My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! <br>#TerenceCrutcher", "0.3877551020408163", "87.46208291203236"], ["@user brings back great memories of hilarity on #SATURDAYNIG-<br>HTLIVE", "0.4", "87.71486349848331"], ["Everybody's worried about stopping #terrorism. Well, there's<br>a really easy way: stop participating in it. -  Noam<br>Chomsky", "0.4285714285714284", "89.18099089989889"], ["Niggas never changed...even as a kid and a 29 year old, in<br>his interviews, seems jovial and happy after death of his<br>sister...he did it", "0.45", "89.83822042467139"], ["@user : Thank you so much, Gloria! You're so sweet, and<br>thoughtful! You just made my day more joyful! I love you<br>too! \ud83d\ude0a\ud83d\udc95", "0.46938775510204067", "90.54600606673408"], ["The point of living, and being an optimist, is to be foolish<br>enough to believe the best is yet to come' - Peter Ustinov<br>#optimism #quote", "0.5", "90.79878665318503"], ["@user happy birthday :) have a blessed day love from Toronto<br>:) #bday #smile", "0.510204081632653", "94.08493427704752"], ["@user happy birthdayyyyyy pretty. Miss you!", "0.5510204081632653", "94.48938321536906"], ["@user @user wow!! My bill is \u00a344.77 and hav a text from u to<br>prove that and you have taken \u00a3148!!!!! #swines  #con!", "0.5918367346938773", "94.74216380182003"], ["When my friends send me ballons and fireworks through<br>text... #amazing", "0.6000000000000001", "95.90495449949444"], ["don't put famous dex in a tweet with breezy lol chris is<br>that guy dex a bitch lmao n music ass", "0.6326530612244896", "96.25884732052579"], ["Just had #efficient #great #smiling service @user store.<br>Impressive team of geniuses ready to redefine what customer<br>service is!", "0.6734693877551019", "96.8149646107179"], ["@user #horror H3LL I SURE DID!!! LOL\\nHappy about this<br>decision. :)", "0.7142857142857142", "97.4721941354904"], ["Going to #BigApple tomorrow! Loving #NJTransit #commute!<br>Wearing #khakis #whiteshirt #maybeblue #brownshoes #macys<br>#joy #jealousyet?\\n#usa", "0.7551020408163265", "97.72497472194135"], ["Autocorrect changes ''em' to 'me' which I resent greatly", "0.7959183673469385", "97.87664307381193"], ["Good morning chirpy #SpringEquinox and your pensive sister<br>#AutumnEquinox A perfect day however it is expressed \ud83c\udf39\ud83c\udf41\ud83c\udf13\u262f\ufe0f<br>#theBeautyofBalance", "0.8367346938775508", "98.73609706774519"], ["@user he's brilliant, lost the joyous plot with us that<br>year. Admits being a fan now after that.", "0.8775510204081631", "98.93832153690596"], ["in love with @user  insta!!!...", "0.9183673469387754", "99.14054600606673"], ["in love with @user  insta!!!...", "0.9183673469387754", "99.14054600606673"], ["Happy Birthday, LOST! / #lost #dharmainitiative #12years<br>#22september2004 #oceanic815", "1.0", "99.19110212335693"]], "fill": "tozeroy", "fillcolor": "rgba(179, 106, 106, 0.7)", "hovertemplate": "<b>Sentiment</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(179, 106, 106, 1)", "shape": "linear", "width": 5}, "name": "Lower Outliers", "x": [-1.0, -0.9591836734693877, -0.8775510204081632, -0.8775510204081632, -0.8367346938775511, -0.7959183673469388, -0.7551020408163265, -0.7142857142857143, -0.6734693877551021, -0.6326530612244898, -0.5918367346938775, -0.575, -0.5510204081632654, -0.5102040816326531, -0.49924999999999997, -0.4693877551020409, -0.4285714285714286, -0.4, -0.3877551020408164, -0.34693877551020413, -0.3408888888888889, -0.30612244897959184, -0.3, -0.26530612244897966, -0.25, -0.22448979591836737, -0.2048511904761904, -0.1999999999999999, -0.1836734693877552, -0.15, -0.1428571428571429, -0.125, -0.10204081632653073, -0.09562499999999968, -0.061224489795918435, -0.05624999999999993, -0.027277777777777536, -0.020408163265306145, 0.0, 0.019614285714286056, 0.020408163265306145, 0.06122448979591821, 0.0625, 0.1, 0.1020408163265305, 0.1333333333333333, 0.1428571428571428, 0.15829166666666666, 0.18367346938775508, 0.2, 0.2182909090909089, 0.22448979591836715, 0.25, 0.26530612244897944, 0.2916666666666667, 0.30612244897959173, 0.3156969696969699, 0.346938775510204, 0.35, 0.3877551020408163, 0.4, 0.4285714285714284, 0.45, 0.46938775510204067, 0.5, 0.510204081632653, 0.5510204081632653, 0.5918367346938773, 0.6000000000000001, 0.6326530612244896, 0.6734693877551019, 0.7142857142857142, 0.7551020408163265, 0.7959183673469385, 0.8367346938775508, 0.8775510204081631, 0.9183673469387754, 0.9183673469387754, 1.0], "y": [0.1170795125168883, 0.11933444586173247, 0.1086536869360955, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "type": "scatter", "uid": "a36c9535-0749-43f4-9867-20ce9d1590c1"}, {"customdata": [["@user stop the presses, @user said/proposed something<br>racist. #shocking", "-1.0", "0.0"], ["also i had an awful nightmare involving being sick where<br>worms were involved i was so disgusted when i woke up", "-0.9591836734693877", "2.3761375126390294"], ["@user OMG! Are you kidding me with this? I thought Pence was<br>bad but they had to go even farther!", "-0.8775510204081632", "2.679474216380182"], ["@user OMG! Are you kidding me with this? I thought Pence was<br>bad but they had to go even farther!", "-0.8775510204081632", "2.679474216380182"], ["@user @user  horrible experience with a company like this<br>#goldmedal #horrible sales person #wrong commitments#wrongpr-<br>oduct", "-0.8367346938775511", "2.730030333670374"], ["@user Bullies, rudeness and littering all make me #mad!", "-0.7959183673469388", "3.6905965621840244"], ["Wine drunk is the worst version of myself ffs, don't even<br>remember seeing basshunter", "-0.7551020408163265", "3.7411526794742165"], ["Yo Yo Yo,my name is #DarthVader \\nI feel like I need to puff<br>on my inhaler (I'm no rapper but that was some sick bars) <br>#bars #rap", "-0.7142857142857143", "4.448938321536906"], ["@user @user @user @user @user awe I feel so bad being naive<br>ou is the worst", "-0.6734693877551021", "5.51061678463094"], ["@user @user Don't be silly - she doesn't want to scare them<br>off! \ud83d\ude06", "-0.6326530612244898", "5.763397371081901"], ["Having a nail half hanging off is absolutely fucking grim,<br>even with my acrylic holding it on \ud83d\ude37\ud83d\ude37", "-0.5918367346938775", "7.836198179979777"], ["I wouldn't wish anxiety and depression even on the worst of<br>people. It's not fun. #anxiety #depression", "-0.575", "7.987866531850354"], ["# ISIS REFERENCES SCRUBBED?  Federal complaint against<br>suspect in NYC, NJ bombings appears to omit terror names in<br>bloody journ...  #news", "-0.5510204081632654", "8.240647118301315"], ["@user @user Prudence suggests that a 8+% bump over 2-3 weeks<br>should be viewed with SKEPTICISM. Media/HRC axis #angry", "-0.5102040816326531", "8.897876643073811"], ["It's sad when your man leaves work a little bit late and<br>your worst fear is 'Oh no!! Did he get stopped by the<br>police?!?! '  #ourworld", "-0.49924999999999997", "12.032355915065724"], ["What a raucous crowd today @user #GCSArtsPD17! How often<br>does one hear applause and cheers at PD?! #excitement @user<br>@user", "-0.4693877551020409", "12.285136501516684"], ["This anger inside I turned to fuel, I burned and watched<br>myself spin down, like inferno types,", "-0.4285714285714286", "13.346814964610719"], ["Dehydrated, exhausted, stressed but still blessed.<br>#optimism", "-0.4", "13.902932254802831"], ["@user haha! She did well today. I can't get beyond her pout<br>annoying me I'm afraid.", "-0.3877551020408164", "14.964610717896866"], ["@user @user shot by black police woman Typical looney toon<br>thinking.#Hillary #divide #anger #chaos", "-0.34693877551020413", "15.975733063700709"], ["@user seriously dude buy some bubble tape for your phones.<br>#snap broke another phone", "-0.3408888888888889", "16.0262891809909"], ["@user He has had a dreadful first half, not to mention<br>rashford would've got on the end of a couple of those<br>through balls #pace", "-0.30612244897959184", "17.49241658240647"], ["So depressing that it's darker so much earlier now", "-0.3", "17.542972699696662"], ["At #UNGA Pakistan clearly shows the face of cowardliness and<br>blatant lies! Its time for #India to act upon terror.", "-0.26530612244897966", "19.464105156723964"], ["My roommate: it's okay that we can't spell because we have<br>autocorrect. #terrible #firstworldprobs", "-0.25", "19.716885743174924"], ["#Never be #afraid to #start over, it's a #new #chance to<br>#rebuild what you want! \ud83d\udd28\ud83d\udd29\ud83c\udfe2", "-0.22448979591836737", "21.73913043478261"], ["I want to pour all my tears on someone right now. So tired<br>of this #upset #sad", "-0.2048511904761904", "21.99191102123357"], ["Im really constipated. This is depressing", "-0.1999999999999999", "23.91304347826087"], ["@user That rap reminds me of when the kids were small and<br>they would prepare a performance #cute #crap \ud83d\ude02", "-0.1836734693877552", "24.317492416582407"], ["How is it suppose to work if you do that? Wtf dude? Thanks<br>for pissing me off.", "-0.15", "25.935288169868553"], ["#jeremyvine take a slightly dull subject and makes it so<br>tediously boring you actually want to rip your own throat<br>out!", "-0.1428571428571429", "26.643073811931245"], ["Sometimes I like to talk about my sadness.  Other times, I<br>just want to be distracted by friends, laughter, shopping,<br>eating...  \\n\\n#MHChat", "-0.125", "27.24974721941355"], ["#ObamaLegacy - weekly #riots and #terror attacks, &gt;400k<br>dead #Syrians, #Jews fleeing #persecution in Europe,<br>#Christian #genocide in ME.....", "-0.10204081632653073", "28.51365015166835"], ["While I was walking, a little boy in a red shirt(5/6 years<br>of age) shouting from a distance of 3 meters, in a jovial<br>manner saying...", "-0.09562499999999968", "30.030333670374116"], ["@user @user @user @user @user Apparently nothing like the<br>terror cops have of black people.", "-0.061224489795918435", "31.85035389282103"], ["Karma is real bitch \ud83d\udd95\ud83c\udffcyou can't just be mean and do horrid<br>things without paying the price \ud83d\ude02", "-0.05624999999999993", "32.00202224469161"], ["So what they do is act covertly and it turns out that they<br>are aware of each other and fear punishment for wanting to<br>destroy others.", "-0.027277777777777536", "34.02426693629929"], ["@user @user u gave Laura so much constructive criticism she<br>blocked u 'Lazy Give Up Now No Hope Retire' same with<br>Heather", "-0.020408163265306145", "34.27704752275025"], ["#NewYork: Several #Baloch &amp; Indian activists hold<br>demonstrations outside @user headquarters demanding Pak to<br>stop exporting #terror into India", "0.0", "34.883720930232556"], ["Wow... One of my dads top favorite throwback rappers just<br>died in a fiery car crash today in Atlanta, so sad so sad<br>\ud83d\ude37\ud83d\ude37", "0.019614285714286056", "65.9757330637007"], ["@user Virtually every statement by other countries at #UN<br>has referred to #terror as main threat to peace, #Pak still<br>in denial.", "0.020408163265306145", "66.0262891809909"], ["@user It'll be easy to spot the parade of tiny weans in<br>expensive jammies. Really is hilarious!", "0.06122448979591821", "67.84630940343781"], ["@user Then u understand that rage is often not pretty, or<br>controlled or rational - it is often visceral-not always<br>logical.", "0.0625", "67.89686552072801"], ["final vestiges of my 90's childhood were just dashed on the<br>shoals of hearing a house cover of Tracy Chapman's 'fast<br>car' at the dayjob", "0.1", "69.31243680485339"], ["Lucky enough to not burn off ALL of my right eye lashes,<br>unlucky enough to burn them just short enough to irritate<br>all of my OCD tendencies", "0.1020408163265305", "70.62689585439838"], ["It's a good day at work when you get to shake Jim Lehrer's<br>hand. Thanks, @user Still kicking myself for being to shy to<br>hug @user", "0.1333333333333333", "71.840242669363"], ["The war is right outside your door #rage #USAToday", "0.1428571428571428", "72.90192113245703"], ["Happy birthday to Stephen King, a man responsible for some<br>of the best horror of the past 40 years... and a whole bunch<br>of the worst.", "0.15829166666666666", "73.96359959555106"], ["Im kind of confused.  The one thing i do right now has a<br>great future, but on the other hand so does the new thing .<br>#lost #needhelp", "0.18367346938775508", "74.62082912032356"], ["As I remember and reflect on Reginald Denny on a night much<br>like this (like #Charlotte) I think to myself, the gun lobby<br>must be rejoicing.", "0.2", "75.37917087967644"], ["Don't be afraid to give up the good to go for the great. -<br>John D. Rockefeller #quote #inspiration #afraid #great<br>#motivation", "0.2182909090909089", "78.00808897876644"], ["When we are weak &amp; in despair, our Mighty God is near;He<br>will give us strength &amp; joy &amp; hope, &amp; calm our<br>inner fear, just have faith &amp; trust.", "0.22448979591836715", "78.05864509605662"], ["@user I think just becz u have so much terror in pak nd<br>urself being  a leader u forgot d difference btw a leader nd<br>terrorist !", "0.25", "78.61476238624874"], ["@user Same it's good but not great.Don't Breathe is the<br>horror film of the month for me. My Fav horror film of the<br>year (so far)", "0.26530612244897944", "80.99089989888776"], ["Three more shifts then I start the next part of my tutorship<br>in response #enjoyingthelastfewdays #excited #nervous<br>#newchallanges", "0.2916666666666667", "81.95146612740142"], ["@user SPARKLES, proud little huff. Still posing mind you.", "0.30612244897959173", "83.46814964610718"], ["It is too fucking bright &amp; too fucking hot outside", "0.3156969696969699", "83.9737108190091"], ["Dark, dense, and exhilarating come the finale, #HellOrHighWa-<br>ter is a gripping watch.", "0.346938775510204", "85.03538928210314"], ["Anybody know a good place to book a show in #Montreal on<br>short but not super-short notice? #punkrock #postpunk<br>#blues", "0.35", "85.08594539939332"], ["My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! <br>#TerenceCrutcher", "0.3877551020408163", "87.46208291203236"], ["@user brings back great memories of hilarity on #SATURDAYNIG-<br>HTLIVE", "0.4", "87.71486349848331"], ["Everybody's worried about stopping #terrorism. Well, there's<br>a really easy way: stop participating in it. -  Noam<br>Chomsky", "0.4285714285714284", "89.18099089989889"], ["Niggas never changed...even as a kid and a 29 year old, in<br>his interviews, seems jovial and happy after death of his<br>sister...he did it", "0.45", "89.83822042467139"], ["@user : Thank you so much, Gloria! You're so sweet, and<br>thoughtful! You just made my day more joyful! I love you<br>too! \ud83d\ude0a\ud83d\udc95", "0.46938775510204067", "90.54600606673408"], ["The point of living, and being an optimist, is to be foolish<br>enough to believe the best is yet to come' - Peter Ustinov<br>#optimism #quote", "0.5", "90.79878665318503"], ["@user happy birthday :) have a blessed day love from Toronto<br>:) #bday #smile", "0.510204081632653", "94.08493427704752"], ["@user happy birthdayyyyyy pretty. Miss you!", "0.5510204081632653", "94.48938321536906"], ["@user @user wow!! My bill is \u00a344.77 and hav a text from u to<br>prove that and you have taken \u00a3148!!!!! #swines  #con!", "0.5918367346938773", "94.74216380182003"], ["When my friends send me ballons and fireworks through<br>text... #amazing", "0.6000000000000001", "95.90495449949444"], ["don't put famous dex in a tweet with breezy lol chris is<br>that guy dex a bitch lmao n music ass", "0.6326530612244896", "96.25884732052579"], ["Just had #efficient #great #smiling service @user store.<br>Impressive team of geniuses ready to redefine what customer<br>service is!", "0.6734693877551019", "96.8149646107179"], ["@user #horror H3LL I SURE DID!!! LOL\\nHappy about this<br>decision. :)", "0.7142857142857142", "97.4721941354904"], ["Going to #BigApple tomorrow! Loving #NJTransit #commute!<br>Wearing #khakis #whiteshirt #maybeblue #brownshoes #macys<br>#joy #jealousyet?\\n#usa", "0.7551020408163265", "97.72497472194135"], ["Autocorrect changes ''em' to 'me' which I resent greatly", "0.7959183673469385", "97.87664307381193"], ["Good morning chirpy #SpringEquinox and your pensive sister<br>#AutumnEquinox A perfect day however it is expressed \ud83c\udf39\ud83c\udf41\ud83c\udf13\u262f\ufe0f<br>#theBeautyofBalance", "0.8367346938775508", "98.73609706774519"], ["@user he's brilliant, lost the joyous plot with us that<br>year. 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Dear corporate jerks, Lithuania didn't<br>need this. #rant #angry", "0.044930318180395584", "15.166835187057634"], ["Love how Megan is raging about this Kendall Jenner photo and<br>I'm sat here like \ud83e\udd14\ud83d\ude43", "0.04946757078170768", "16.0262891809909"], ["See people now selling their #MayMac presss conference<br>tickets at Wembley for \u00a3100 now when they were free. Scum<br>cunts!!! \ud83d\ude21", "0.05751431703567503", "17.99797775530839"], ["My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! <br>#TerenceCrutcher", "0.06518095610093091", "19.41354903943377"], ["@user @user @user @user And I apologised like 15 times and<br>you're still holding a grudge, can't help thag", "0.06849570274353023", "20.020222446916076"], ["@user &amp; @user THANK YOU for the retweets. Much<br>#appreciated!!! #horror #monsters #MonsterBrawl @user", "0.07697522640228266", "21.99191102123357"], ["@user fuming ain't the word", "0.08543159402146626", "23.811931243680487"], ["Now ...what to do for the next hour while waiting for<br>#OurGirl to start @user ?!", "0.08649819612503047", "24.014155712841255"], ["this weather = my mood \u2614 #miserable", "0.09239655733108516", "26.036400404448937"], ["What a fucking muppet.  @user  #stalker.", "0.1011701917648315", "28.00808897876643"], ["Like he really just fucking asked me that.", "0.1056822319420016", "29.322548028311427"], ["@user I don't think your a girls girl #fraud  #celebeffer", "0.10795042514801023", "30.030333670374116"], ["Fucking hell. Rush for the damn train also no use. Fucking<br>4min wait. Still sweating.  #smrtruinslives", "0.11441904783248895", "32.00202224469161"], ["Sigh. I got a B- .. #depressing", "0.1210017943382263", "34.02426693629929"], ["I just burst into tears bc a friend told another friend he<br>would help him studying, he was so kind and wtf is wrong<br>with me", "0.12593286986253693", "35.03538928210313"], ["@user \\nWho nose where those scent roses went\\nTo a spot in<br>the Orient\\nMummified\\nIn rapeseed oil fried\\nEating<br>drinking &amp; merriment.", "0.12907146215438836", "35.99595551061678"], ["Been so active these days. That now that I have a day off, I<br>am soooo restless. :P Haven't been restless in months.", "0.13771430492401118", "38.01820020222447"], ["@user @user Quite the response of retaliation from Weiner in<br>getting revenge on Huma &amp; Hillary 'clam digging'.\\n#AllS-<br>cumbags", "0.14473350048065187", "39.98988877654196"], ["I have sleep cooties.\\nI close my eyes and dream that I'm<br>awake #weary #sleepissues #narcolepsy", "0.1461835077830723", "40.29322548028311"], ["If yiu don't respond .o an email within 7 days, you willxbe<br>killed by an animated gif of the girl froa The Ri.g.", "0.15355485677719113", "42.01213346814965"], ["#UKVI why are you so difficult to access? And why on earth<br>am I being charged exorbitant amounts to understand about my<br>visa status?!  #crap", "0.16115247488021847", "43.98382204246714"], ["@user SPARKLES, proud little huff. Still posing mind you.", "0.16643414570360762", "45.146612740141556"], ["It's not length, it's A #gnawing #sense of #dread.", "0.1700683212280273", "46.00606673407482"], ["@user but what I am doing is in my control, #AvoidMMT , you<br>guys are", "0.18111944437026975", "47.97775530839232"], ["@user @user no it was a selfie of him from seven months  ago<br>look at the top left of the snap people", "0.18668478362414295", "49.24165824064712"], ["And the idiots are still gobbing their ridiculous garbage<br>with no better brain it's all they do: the relentless<br>braindead garbage gobbers", "0.18988320231437678", "50.0"], ["@user I'm not on about history or  other people, I'm on<br>about you. I've bullied no one, I make three posts and you<br>attack #bully", "0.20029503822326655", "52.02224469160768"], ["@user Happy #blissful birthday", "0.2069354215446783", "52.881698685540954"], ["@user @user @user @user @user  Comparing Akshay Sir with<br>this zandu balm is an insult to Akshay Sir.", "0.21410983085632324", "53.99393326592518"], ["@user You have no Police credentials-You were a litigator.<br>Nothing more-No Experience. #Sad #TrumpPuppet #Felon <br>#jersey4sale", "0.22345007896423344", "56.01617795753286"], ["@user nick fury", "0.22718605946521364", "56.52173913043478"], ["Hoping the Giant ice that broke off will cool the ocean and<br>bring back the Great Barrier Reef #optimism #amirighttho<br>#sigh", "0.23715757608413696", "57.98786653185035"], ["and I don't want to spread it all over my twitter. It's my<br>choice, but I, at least, needed to say this as I don't want<br>to worry people.", "0.24743669738574897", "59.403437815975735"], ["The #World and it's communities and #leaders are #laughing<br>at #America as #trump #destroys #America with his #nonstopli-<br>es &amp; #racism #hatred.", "0.2504179358482361", "60.01011122345804"], ["@user Same it's good but not great.Don't Breathe is the<br>horror film of the month for me. My Fav horror film of the<br>year (so far)", "0.2626359903812408", "61.98179979777553"], ["@user Was DonJr  target of #sting b/c #RobGoldstoneEmail has<br>all conspiracy-crime elements? HRC knew b/c tied Trump2Russi-<br>a by 6/16?", "0.2676873353062843", "62.74014155712841"], ["When you wake up, scroll through social media, and another<br>father was taken from his child  #everyday #KeithLamontScot-<br>t", "0.2773135447502136", "64.00404448938322"], ["@user impossible to say. We can only hope that I don\u2019t<br>unwittingly trigger her ferocious side again. Hell hath no<br>fury..", "0.2879379732268197", "64.91405460060668"], ["@user DO THE THING enrage all the people who cannot Do The<br>Thing", "0.29628963708877565", "65.9757330637007"], ["The Republicans need to offer a detailed and competitive<br>plan, if they don't buy counter terrorism, or their own<br>plan.", "0.308188611147355", "67.3407482305359"], ["@user @user Please. Don't insult Goths.", "0.3155417060852051", "67.9979777553084"], ["@user sorry to upset u madam.If you have got any queries<br>don't hesitate to contact our PR department.In the meantime<br>do you fancy a beer?", "0.32843924906789035", "69.8685540950455"], ["I'm mad at the injustice, so I'm going to smash my<br>neighbours windows'.  Makes perfect sense. #CharlotteProtes-<br>t", "0.3300705373287201", "69.96966632962588"], ["Feels grim not having your nails done", "0.3486898869884257", "71.73913043478261"], ["The gravediggers looked #solemn. The groundhog blinked back<br>tears. The crows fell silent.\\nHey, what about ME!  crowed<br>the rooster.\\n#vss365", "0.3523251557350158", "71.99191102123356"], ["Thinking about trying some comedy on youtube. Always been<br>fond of it. Time to nut up. #laughter #comedy #maybeoneday<br>#hopefullyfunny #LOL", "0.368940524908961", "73.45803842264914"], ["@user @user @user You need a new tactic post-Trump/Brexit.<br>Hurling that insult around no longer works I'm afraid.", "0.3741067087650298", "73.96359959555106"], ["Everything you\u2019ve ever wanted is on the other side of fear.<br>\u2013George Addair #ThursdayThoughts #yourpushfactor #fear #life<br>#quote", "0.3891911628294964", "75.83417593528817"], ["#ahs6 every 5 minutes I've been saying 'nope nope I'd be<br>gone by now.' 'MOVE' or 'GTFO' so thank you for the", "0.3896592283248901", "75.98584428715874"], ["@user AP didn't have a productive week 1 or 1st half against<br>GB and Kalil is horrible! @user D is its strongest asset<br>currently.", "0.4094418007500317", "77.75530839231547"], ["I think that Nuclear weapon and Cyber weapon are big<br>threats, but I think that the bigger threat is Scalar weapon<br>...\\n#scalar #threat", "0.4133240878582", "78.00808897876644"], ["World wants #peace from #terrorism #WorldPeaceDay #internati-<br>onaldayofpeace", "0.42969243867056706", "79.22143579373105"], ["I always thought I was too empathetic but it's becoming<br>clear that the majority of you guys are plain insensitive to<br>an alarming degree", "0.4406543731689454", "79.97977755308392"], ["I truly feel like science has the ability to make a milk out<br>of anything ... cashew milk, hemp milk, pine nut milk,<br>dandelion milk", "0.4499430765911024", "80.48533872598584"], ["@user @user That part of Queensbury is a shocking disgrace.<br>The route from the station to Morrisons is festooned with<br>rubbish", "0.4701937145116377", "81.74924165824065"], ["Dark, dense, and exhilarating come the finale, #HellOrHighWa-<br>ter is a gripping watch.", "0.4721104454994202", "82.0020222446916"], ["#internationaldayofpeace Want peace,prepare for war. Destroy<br>terror states like Pakistan", "0.49044435243217305", "83.77148634984833"], ["I meet new people and I had to grow up with the reality that<br>people can be desgusting and fake and so I lost my<br>cheerfulness and started to", "0.49408881187438974", "83.9737108190091"], ["We have a GLOBAL problem: Illicit trade in #tobacco products<br>presents a serious #threat to public #health. #UNTobaccocont-<br>rol @user", "0.5106949903527085", "84.83316481294237"], ["Dirty Den returns, bursting forth from his grave to deliver<br>a horrible vengeance.", "0.5309456282732438", "85.69261880687563"], ["Hell hath no fury like a bureaucrat scorned. \u2015 Milton<br>Friedman", "0.5338592517375946", "85.99595551061678"], ["\u201cCompetition is suppose to motivate you to do better<br>everytime not to be bitter all the time\u201d -De philosopher DJ<br>Kyos \\n#quote #success #CSGO", "0.5511962661937791", "87.20930232558139"], ["@user There should need to take serious action over<br>terrorism sir", "0.5714469041143145", "87.8665318503539"], ["Police: Atlanta rapper Shawty Lo killed in fiery car crash", "0.5761111855506897", "87.96764408493428"], ["@user @user So much animosity towards Loki who is fighting<br>the same battle as you. Surely not the best use of energy.", "0.5916975420348498", "88.82709807886754"], ["@user The little details in life can build up to things that<br>could affect you negatively and eventually make unhappy and<br>lonely.", "0.6119481799553852", "89.38321536905966"], ["@user Virtually every statement by other countries at #UN<br>has referred to #terror as main threat to peace, #Pak still<br>in denial.", "0.6321988178759205", "89.98988877654196"], ["@user \u2190would furrow and her face would redden as she<br>protests; it would seem that being seen as unattractive in<br>Wukong's eyes was\u2192", "0.6524494557964559", "90.84934277047523"], ["If my concerns &amp; anxiety don't matter to you then I<br>shall return the favor. #EyeMatter", "0.6727000937169912", "91.30434782608695"], [".@AlistairBurtUK states that DfiD is working hard to ensure<br>Palestine isn't funding terrorism #FCOQs", "0.6929507316375265", "91.86046511627907"], ["Anger is cheap and politeness is expensive. Don't expect<br>everybody to be polite. #ThoughtfulThursday  #politeness", "0.6982784724235535", "91.96157735085946"], ["Michael Carrick should start every game for United and<br>England", "0.7132013695580619", "92.51769464105156"], ["A decent sleep makes Kurt a happy soldier. Spit &amp; polish<br>the converse men. chests out and baseball caps at a jaunty<br>angle.", "0.7334520074785972", "93.12436804853387"], ["@user what are the current statistics concerning 'backdoor<br>abortions'. If alarming, what preemptive measures are in<br>place?", "0.7537026453991326", "93.68048533872599"], ["also i had an awful nightmare involving being sick where<br>worms were involved i was so disgusted when i woke up", "0.7691621661186222", "93.98382204246714"], ["I asked Jared to marry me and he said no.", "0.773953283319668", "94.03437815975732"], ["Not by wrath does one kill, but by laughter.  Friedrich<br>Nietzsche #friedrichnietzsche", "0.7942039212402032", "94.38827098078868"], ["Each of ye separate FALLEN; if we quickening his wrath upon<br>us, will only cause our PAIN to be more unbearable in that<br>PIT.", "0.8144545591607386", "94.84327603640041"], ["ethan was with someone in the car when he did his revenge on<br>grayson", "0.8347051970812739", "94.9443882709808"], ["Hope was an instinct only the reasoning human mind could<br>kill. An animal never knew despair.", "0.8549558350018093", "95.44994944388272"], ["The man who is a pessimist before 48 knows too much; if he<br>is an optimist after it, he knows too little.'\\n-Mark Twain", "0.8752064729223447", "95.80384226491405"], ["Does #fear of #Missions still have a hold on you? Are you so<br>busy looking for opportunities you cannot see anything else?<br>Matthew 10: 27-33", "0.8890881967544557", "95.95551061678464"], ["#2 complained then while his head and then called do not<br>despair of God's mercy if you did sins go back to him and<br>ask his forgiveness", "0.8954571108428799", "96.20829120323559"], ["It is important to seek peace, even in the midst of a<br>horrific war #CreateSyria  @user #TalkingPeace #buildingpeac-<br>e", "0.9157077487634153", "96.46107178968656"], ["although I laugh and I act like a clown beneath this mask I<br>am wearing a frown my tears are falling like rain from the<br>sky", "0.9359583866839506", "96.8655207280081"], ["I love Mary's undying optimism. You could present her with<br>dog shite and she'd find something good to say. #GBBO", "0.956209024604486", "97.32052578361981"], ["I love Mary's undying optimism. You could present her with<br>dog shite and she'd find something good to say. #GBBO", "0.956209024604486", "97.32052578361981"], ["Going home is depressing", "0.9764596625250213", "97.87664307381193"], ["\u260aFocusing primarily on the person you\u2019re talking to rather<br>than yourself and the impression you\u2019re making lessens<br>social anxiety.", "0.9784171044826508", "97.97775530839232"], ["Egyptian officials expressed frustration and outrage over<br>the Obama/Hillary administration\u2019s support of the Muslim<br>Brotherhood", "0.9967103004455566", "99.9494438827098"]], "fill": "tozeroy", "fillcolor": "rgba(105, 179, 162, 0.7)", "hovertemplate": "<b>Formality</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(105, 179, 162, 1)", "shape": "linear", "width": 5}, "name": "Common", "x": [0.0044290423393249, 0.007186864614486618, 0.01015220403671262, 0.014247832298278744, 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to hang out w JB, he<br>clearly looks so unhappy and bored in the pics no offense<br>LOL, plus he hates yall", "0.0044290423393249", "0.0"], ["@user @user wow!! My bill is \u00a344.77 and hav a text from u to<br>prove that and you have taken \u00a3148!!!!! #swines  #con!", "0.007186864614486618", "2.0222446916076846"], ["@user Then dont disappoint them \ud83d\ude02", "0.01015220403671262", "4.044489383215369"], ["Dear Indians..It is hard to swallow this but for once try to<br>swallow this bitter pill...that is.. Pakistan is number one<br>in Test cricket!!!", "0.014247832298278744", "6.016177957532862"], ["Forever raging \ud83d\ude0f\ud83d\ude02\ud83d\ude2d", "0.01909392833709713", "8.038422649140546"], ["@user that nigga is horrible bro", "0.024476248025894116", "10.010111223458038"], ["@user at one point this is what i wanted rba sa? hahaha pero<br>di jud oy di jud \u2639 what if ga humss ta? \ud83d\ude2d", "0.02467968025986024", "10.161779575328614"], ["When will the weeks full of Mondays end?? #disheartened", "0.030339531898498518", "12.032355915065724"], ["KEEF\\n \\n #annoyed! cant make me bursting out it's not a<br>fire tweet makes me and then blocking people in the joints<br>is too", "0.03854188323020931", "14.004044489383215"], ["Why to have vanity sizes?Now sizes S,XS(evenXXS sometimes)<br>are too big, WTF?! Dear corporate jerks, Lithuania didn't<br>need this. #rant #angry", "0.044930318180395584", "15.166835187057634"], ["Love how Megan is raging about this Kendall Jenner photo and<br>I'm sat here like \ud83e\udd14\ud83d\ude43", "0.04946757078170768", "16.0262891809909"], ["See people now selling their #MayMac presss conference<br>tickets at Wembley for \u00a3100 now when they were free. Scum<br>cunts!!! \ud83d\ude21", "0.05751431703567503", "17.99797775530839"], ["My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! <br>#TerenceCrutcher", "0.06518095610093091", "19.41354903943377"], ["@user @user @user @user And I apologised like 15 times and<br>you're still holding a grudge, can't help thag", "0.06849570274353023", "20.020222446916076"], ["@user &amp; @user THANK YOU for the retweets. Much<br>#appreciated!!! #horror #monsters #MonsterBrawl @user", "0.07697522640228266", "21.99191102123357"], ["@user fuming ain't the word", "0.08543159402146626", "23.811931243680487"], ["Now ...what to do for the next hour while waiting for<br>#OurGirl to start @user ?!", "0.08649819612503047", "24.014155712841255"], ["this weather = my mood \u2614 #miserable", "0.09239655733108516", "26.036400404448937"], ["What a fucking muppet.  @user  #stalker.", "0.1011701917648315", "28.00808897876643"], ["Like he really just fucking asked me that.", "0.1056822319420016", "29.322548028311427"], ["@user I don't think your a girls girl #fraud  #celebeffer", "0.10795042514801023", "30.030333670374116"], ["Fucking hell. Rush for the damn train also no use. Fucking<br>4min wait. Still sweating.  #smrtruinslives", "0.11441904783248895", "32.00202224469161"], ["Sigh. I got a B- .. #depressing", "0.1210017943382263", "34.02426693629929"], ["I just burst into tears bc a friend told another friend he<br>would help him studying, he was so kind and wtf is wrong<br>with me", "0.12593286986253693", "35.03538928210313"], ["@user \\nWho nose where those scent roses went\\nTo a spot in<br>the Orient\\nMummified\\nIn rapeseed oil fried\\nEating<br>drinking &amp; merriment.", "0.12907146215438836", "35.99595551061678"], ["Been so active these days. That now that I have a day off, I<br>am soooo restless. :P Haven't been restless in months.", "0.13771430492401118", "38.01820020222447"], ["@user @user Quite the response of retaliation from Weiner in<br>getting revenge on Huma &amp; Hillary 'clam digging'.\\n#AllS-<br>cumbags", "0.14473350048065187", "39.98988877654196"], ["I have sleep cooties.\\nI close my eyes and dream that I'm<br>awake #weary #sleepissues #narcolepsy", "0.1461835077830723", "40.29322548028311"], ["If yiu don't respond .o an email within 7 days, you willxbe<br>killed by an animated gif of the girl froa The Ri.g.", "0.15355485677719113", "42.01213346814965"], ["#UKVI why are you so difficult to access? And why on earth<br>am I being charged exorbitant amounts to understand about my<br>visa status?!  #crap", "0.16115247488021847", "43.98382204246714"], ["@user SPARKLES, proud little huff. Still posing mind you.", "0.16643414570360762", "45.146612740141556"], ["It's not length, it's A #gnawing #sense of #dread.", "0.1700683212280273", "46.00606673407482"], ["@user but what I am doing is in my control, #AvoidMMT , you<br>guys are", "0.18111944437026975", "47.97775530839232"], ["@user @user no it was a selfie of him from seven months  ago<br>look at the top left of the snap people", "0.18668478362414295", "49.24165824064712"], ["And the idiots are still gobbing their ridiculous garbage<br>with no better brain it's all they do: the relentless<br>braindead garbage gobbers", "0.18988320231437678", "50.0"], ["@user I'm not on about history or  other people, I'm on<br>about you. I've bullied no one, I make three posts and you<br>attack #bully", "0.20029503822326655", "52.02224469160768"], ["@user Happy #blissful birthday", "0.2069354215446783", "52.881698685540954"], ["@user @user @user @user @user  Comparing Akshay Sir with<br>this zandu balm is an insult to Akshay Sir.", "0.21410983085632324", "53.99393326592518"], ["@user You have no Police credentials-You were a litigator.<br>Nothing more-No Experience. #Sad #TrumpPuppet #Felon <br>#jersey4sale", "0.22345007896423344", "56.01617795753286"], ["@user nick fury", "0.22718605946521364", "56.52173913043478"], ["Hoping the Giant ice that broke off will cool the ocean and<br>bring back the Great Barrier Reef #optimism #amirighttho<br>#sigh", "0.23715757608413696", "57.98786653185035"], ["and I don't want to spread it all over my twitter. It's my<br>choice, but I, at least, needed to say this as I don't want<br>to worry people.", "0.24743669738574897", "59.403437815975735"], ["The #World and it's communities and #leaders are #laughing<br>at #America as #trump #destroys #America with his #nonstopli-<br>es &amp; #racism #hatred.", "0.2504179358482361", "60.01011122345804"], ["@user Same it's good but not great.Don't Breathe is the<br>horror film of the month for me. My Fav horror film of the<br>year (so far)", "0.2626359903812408", "61.98179979777553"], ["@user Was DonJr  target of #sting b/c #RobGoldstoneEmail has<br>all conspiracy-crime elements? HRC knew b/c tied Trump2Russi-<br>a by 6/16?", "0.2676873353062843", "62.74014155712841"], ["When you wake up, scroll through social media, and another<br>father was taken from his child  #everyday #KeithLamontScot-<br>t", "0.2773135447502136", "64.00404448938322"], ["@user impossible to say. We can only hope that I don\u2019t<br>unwittingly trigger her ferocious side again. Hell hath no<br>fury..", "0.2879379732268197", "64.91405460060668"], ["@user DO THE THING enrage all the people who cannot Do The<br>Thing", "0.29628963708877565", "65.9757330637007"], ["The Republicans need to offer a detailed and competitive<br>plan, if they don't buy counter terrorism, or their own<br>plan.", "0.308188611147355", "67.3407482305359"], ["@user @user Please. Don't insult Goths.", "0.3155417060852051", "67.9979777553084"], ["@user sorry to upset u madam.If you have got any queries<br>don't hesitate to contact our PR department.In the meantime<br>do you fancy a beer?", "0.32843924906789035", "69.8685540950455"], ["I'm mad at the injustice, so I'm going to smash my<br>neighbours windows'.  Makes perfect sense. #CharlotteProtes-<br>t", "0.3300705373287201", "69.96966632962588"], ["Feels grim not having your nails done", "0.3486898869884257", "71.73913043478261"], ["The gravediggers looked #solemn. The groundhog blinked back<br>tears. The crows fell silent.\\nHey, what about ME!  crowed<br>the rooster.\\n#vss365", "0.3523251557350158", "71.99191102123356"], ["Thinking about trying some comedy on youtube. Always been<br>fond of it. Time to nut up. #laughter #comedy #maybeoneday<br>#hopefullyfunny #LOL", "0.368940524908961", "73.45803842264914"], ["@user @user @user You need a new tactic post-Trump/Brexit.<br>Hurling that insult around no longer works I'm afraid.", "0.3741067087650298", "73.96359959555106"], ["Everything you\u2019ve ever wanted is on the other side of fear.<br>\u2013George Addair #ThursdayThoughts #yourpushfactor #fear #life<br>#quote", "0.3891911628294964", "75.83417593528817"], ["#ahs6 every 5 minutes I've been saying 'nope nope I'd be<br>gone by now.' 'MOVE' or 'GTFO' so thank you for the", "0.3896592283248901", "75.98584428715874"], ["@user AP didn't have a productive week 1 or 1st half against<br>GB and Kalil is horrible! @user D is its strongest asset<br>currently.", "0.4094418007500317", "77.75530839231547"], ["I think that Nuclear weapon and Cyber weapon are big<br>threats, but I think that the bigger threat is Scalar weapon<br>...\\n#scalar #threat", "0.4133240878582", "78.00808897876644"], ["World wants #peace from #terrorism #WorldPeaceDay #internati-<br>onaldayofpeace", "0.42969243867056706", "79.22143579373105"], ["I always thought I was too empathetic but it's becoming<br>clear that the majority of you guys are plain insensitive to<br>an alarming degree", "0.4406543731689454", "79.97977755308392"], ["I truly feel like science has the ability to make a milk out<br>of anything ... cashew milk, hemp milk, pine nut milk,<br>dandelion milk", "0.4499430765911024", "80.48533872598584"], ["@user @user That part of Queensbury is a shocking disgrace.<br>The route from the station to Morrisons is festooned with<br>rubbish", "0.4701937145116377", "81.74924165824065"], ["Dark, dense, and exhilarating come the finale, #HellOrHighWa-<br>ter is a gripping watch.", "0.4721104454994202", "82.0020222446916"], ["#internationaldayofpeace Want peace,prepare for war. Destroy<br>terror states like Pakistan", "0.49044435243217305", "83.77148634984833"], ["I meet new people and I had to grow up with the reality that<br>people can be desgusting and fake and so I lost my<br>cheerfulness and started to", "0.49408881187438974", "83.9737108190091"], ["We have a GLOBAL problem: Illicit trade in #tobacco products<br>presents a serious #threat to public #health. #UNTobaccocont-<br>rol @user", "0.5106949903527085", "84.83316481294237"], ["Dirty Den returns, bursting forth from his grave to deliver<br>a horrible vengeance.", "0.5309456282732438", "85.69261880687563"], ["Hell hath no fury like a bureaucrat scorned. \u2015 Milton<br>Friedman", "0.5338592517375946", "85.99595551061678"], ["\u201cCompetition is suppose to motivate you to do better<br>everytime not to be bitter all the time\u201d -De philosopher DJ<br>Kyos \\n#quote #success #CSGO", "0.5511962661937791", "87.20930232558139"], ["@user There should need to take serious action over<br>terrorism sir", "0.5714469041143145", "87.8665318503539"], ["Police: Atlanta rapper Shawty Lo killed in fiery car crash", "0.5761111855506897", "87.96764408493428"], ["@user @user So much animosity towards Loki who is fighting<br>the same battle as you. Surely not the best use of energy.", "0.5916975420348498", "88.82709807886754"], ["@user The little details in life can build up to things that<br>could affect you negatively and eventually make unhappy and<br>lonely.", "0.6119481799553852", "89.38321536905966"], ["@user Virtually every statement by other countries at #UN<br>has referred to #terror as main threat to peace, #Pak still<br>in denial.", "0.6321988178759205", "89.98988877654196"], ["@user \u2190would furrow and her face would redden as she<br>protests; it would seem that being seen as unattractive in<br>Wukong's eyes was\u2192", "0.6524494557964559", "90.84934277047523"], ["If my concerns &amp; anxiety don't matter to you then I<br>shall return the favor. #EyeMatter", "0.6727000937169912", "91.30434782608695"], [".@AlistairBurtUK states that DfiD is working hard to ensure<br>Palestine isn't funding terrorism #FCOQs", "0.6929507316375265", "91.86046511627907"], ["Anger is cheap and politeness is expensive. Don't expect<br>everybody to be polite. #ThoughtfulThursday  #politeness", "0.6982784724235535", "91.96157735085946"], ["Michael Carrick should start every game for United and<br>England", "0.7132013695580619", "92.51769464105156"], ["A decent sleep makes Kurt a happy soldier. Spit &amp; polish<br>the converse men. chests out and baseball caps at a jaunty<br>angle.", "0.7334520074785972", "93.12436804853387"], ["@user what are the current statistics concerning 'backdoor<br>abortions'. If alarming, what preemptive measures are in<br>place?", "0.7537026453991326", "93.68048533872599"], ["also i had an awful nightmare involving being sick where<br>worms were involved i was so disgusted when i woke up", "0.7691621661186222", "93.98382204246714"], ["I asked Jared to marry me and he said no.", "0.773953283319668", "94.03437815975732"], ["Not by wrath does one kill, but by laughter.  Friedrich<br>Nietzsche #friedrichnietzsche", "0.7942039212402032", "94.38827098078868"], ["Each of ye separate FALLEN; if we quickening his wrath upon<br>us, will only cause our PAIN to be more unbearable in that<br>PIT.", "0.8144545591607386", "94.84327603640041"], ["ethan was with someone in the car when he did his revenge on<br>grayson", "0.8347051970812739", "94.9443882709808"], ["Hope was an instinct only the reasoning human mind could<br>kill. An animal never knew despair.", "0.8549558350018093", "95.44994944388272"], ["The man who is a pessimist before 48 knows too much; if he<br>is an optimist after it, he knows too little.'\\n-Mark Twain", "0.8752064729223447", "95.80384226491405"], ["Does #fear of #Missions still have a hold on you? Are you so<br>busy looking for opportunities you cannot see anything else?<br>Matthew 10: 27-33", "0.8890881967544557", "95.95551061678464"], ["#2 complained then while his head and then called do not<br>despair of God's mercy if you did sins go back to him and<br>ask his forgiveness", "0.8954571108428799", "96.20829120323559"], ["It is important to seek peace, even in the midst of a<br>horrific war #CreateSyria  @user #TalkingPeace #buildingpeac-<br>e", "0.9157077487634153", "96.46107178968656"], ["although I laugh and I act like a clown beneath this mask I<br>am wearing a frown my tears are falling like rain from the<br>sky", "0.9359583866839506", "96.8655207280081"], ["I love Mary's undying optimism. You could present her with<br>dog shite and she'd find something good to say. #GBBO", "0.956209024604486", "97.32052578361981"], ["I love Mary's undying optimism. You could present her with<br>dog shite and she'd find something good to say. #GBBO", "0.956209024604486", "97.32052578361981"], ["Going home is depressing", "0.9764596625250213", "97.87664307381193"], ["\u260aFocusing primarily on the person you\u2019re talking to rather<br>than yourself and the impression you\u2019re making lessens<br>social anxiety.", "0.9784171044826508", "97.97775530839232"], ["Egyptian officials expressed frustration and outrage over<br>the Obama/Hillary administration\u2019s support of the Muslim<br>Brotherhood", "0.9967103004455566", "99.9494438827098"]], "fill": "tozeroy", "fillcolor": "rgba(179, 106, 106, 0.7)", "hovertemplate": "<b>Formality</b>: %{customdata[1]:.2f}<br><b>Larger than</b> %{customdata[2]:.2f}% of samples<br><b>Sample</b>:<br>\"%{customdata[0]}\"<br>", "line": {"color": "rgba(179, 106, 106, 1)", "shape": "linear", "width": 5}, "name": "Lower Outliers", "x": [0.0044290423393249, 0.007186864614486618, 0.01015220403671262, 0.014247832298278744, 0.01909392833709713, 0.024476248025894116, 0.02467968025986024, 0.030339531898498518, 0.03854188323020931, 0.044930318180395584, 0.04946757078170768, 0.05751431703567503, 0.06518095610093091, 0.06849570274353023, 0.07697522640228266, 0.08543159402146626, 0.08649819612503047, 0.09239655733108516, 0.1011701917648315, 0.1056822319420016, 0.10795042514801023, 0.11441904783248895, 0.1210017943382263, 0.12593286986253693, 0.12907146215438836, 0.13771430492401118, 0.14473350048065187, 0.1461835077830723, 0.15355485677719113, 0.16115247488021847, 0.16643414570360762, 0.1700683212280273, 0.18111944437026975, 0.18668478362414295, 0.18988320231437678, 0.20029503822326655, 0.2069354215446783, 0.21410983085632324, 0.22345007896423344, 0.22718605946521364, 0.23715757608413696, 0.24743669738574897, 0.2504179358482361, 0.2626359903812408, 0.2676873353062843, 0.2773135447502136, 0.2879379732268197, 0.29628963708877565, 0.308188611147355, 0.3155417060852051, 0.32843924906789035, 0.3300705373287201, 0.3486898869884257, 0.3523251557350158, 0.368940524908961, 0.3741067087650298, 0.3891911628294964, 0.3896592283248901, 0.4094418007500317, 0.4133240878582, 0.42969243867056706, 0.4406543731689454, 0.4499430765911024, 0.4701937145116377, 0.4721104454994202, 0.49044435243217305, 0.49408881187438974, 0.5106949903527085, 0.5309456282732438, 0.5338592517375946, 0.5511962661937791, 0.5714469041143145, 0.5761111855506897, 0.5916975420348498, 0.6119481799553852, 0.6321988178759205, 0.6524494557964559, 0.6727000937169912, 0.6929507316375265, 0.6982784724235535, 0.7132013695580619, 0.7334520074785972, 0.7537026453991326, 0.7691621661186222, 0.773953283319668, 0.7942039212402032, 0.8144545591607386, 0.8347051970812739, 0.8549558350018093, 0.8752064729223447, 0.8890881967544557, 0.8954571108428799, 0.9157077487634153, 0.9359583866839506, 0.956209024604486, 0.956209024604486, 0.9764596625250213, 0.9784171044826508, 0.9967103004455566], "y": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "type": "scatter", "uid": "d464b2da-c056-4901-89a1-ac3427181843"}, {"customdata": [["why yall hyped abt that girl getting to hang out w JB, he<br>clearly looks so unhappy and bored in the pics no offense<br>LOL, plus he hates yall", "0.0044290423393249", "0.0"], ["@user @user wow!! My bill is \u00a344.77 and hav a text from u to<br>prove that and you have taken \u00a3148!!!!! #swines  #con!", "0.007186864614486618", "2.0222446916076846"], ["@user Then dont disappoint them \ud83d\ude02", "0.01015220403671262", "4.044489383215369"], ["Dear Indians..It is hard to swallow this but for once try to<br>swallow this bitter pill...that is.. Pakistan is number one<br>in Test cricket!!!", "0.014247832298278744", "6.016177957532862"], ["Forever raging \ud83d\ude0f\ud83d\ude02\ud83d\ude2d", "0.01909392833709713", "8.038422649140546"], ["@user that nigga is horrible bro", "0.024476248025894116", "10.010111223458038"], ["@user at one point this is what i wanted rba sa? hahaha pero<br>di jud oy di jud \u2639 what if ga humss ta? \ud83d\ude2d", "0.02467968025986024", "10.161779575328614"], ["When will the weeks full of Mondays end?? #disheartened", "0.030339531898498518", "12.032355915065724"], ["KEEF\\n \\n #annoyed! cant make me bursting out it's not a<br>fire tweet makes me and then blocking people in the joints<br>is too", "0.03854188323020931", "14.004044489383215"], ["Why to have vanity sizes?Now sizes S,XS(evenXXS sometimes)<br>are too big, WTF?! Dear corporate jerks, Lithuania didn't<br>need this. #rant #angry", "0.044930318180395584", "15.166835187057634"], ["Love how Megan is raging about this Kendall Jenner photo and<br>I'm sat here like \ud83e\udd14\ud83d\ude43", "0.04946757078170768", "16.0262891809909"], ["See people now selling their #MayMac presss conference<br>tickets at Wembley for \u00a3100 now when they were free. Scum<br>cunts!!! \ud83d\ude21", "0.05751431703567503", "17.99797775530839"], ["My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! <br>#TerenceCrutcher", "0.06518095610093091", "19.41354903943377"], ["@user @user @user @user And I apologised like 15 times and<br>you're still holding a grudge, can't help thag", "0.06849570274353023", "20.020222446916076"], ["@user &amp; @user THANK YOU for the retweets. Much<br>#appreciated!!! #horror #monsters #MonsterBrawl @user", "0.07697522640228266", "21.99191102123357"], ["@user fuming ain't the word", "0.08543159402146626", "23.811931243680487"], ["Now ...what to do for the next hour while waiting for<br>#OurGirl to start @user ?!", "0.08649819612503047", "24.014155712841255"], ["this weather = my mood \u2614 #miserable", "0.09239655733108516", "26.036400404448937"], ["What a fucking muppet.  @user  #stalker.", "0.1011701917648315", "28.00808897876643"], ["Like he really just fucking asked me that.", "0.1056822319420016", "29.322548028311427"], ["@user I don't think your a girls girl #fraud  #celebeffer", "0.10795042514801023", "30.030333670374116"], ["Fucking hell. Rush for the damn train also no use. Fucking<br>4min wait. Still sweating.  #smrtruinslives", "0.11441904783248895", "32.00202224469161"], ["Sigh. I got a B- .. #depressing", "0.1210017943382263", "34.02426693629929"], ["I just burst into tears bc a friend told another friend he<br>would help him studying, he was so kind and wtf is wrong<br>with me", "0.12593286986253693", "35.03538928210313"], ["@user \\nWho nose where those scent roses went\\nTo a spot in<br>the Orient\\nMummified\\nIn rapeseed oil fried\\nEating<br>drinking &amp; merriment.", "0.12907146215438836", "35.99595551061678"], ["Been so active these days. That now that I have a day off, I<br>am soooo restless. :P Haven't been restless in months.", "0.13771430492401118", "38.01820020222447"], ["@user @user Quite the response of retaliation from Weiner in<br>getting revenge on Huma &amp; Hillary 'clam digging'.\\n#AllS-<br>cumbags", "0.14473350048065187", "39.98988877654196"], ["I have sleep cooties.\\nI close my eyes and dream that I'm<br>awake #weary #sleepissues #narcolepsy", "0.1461835077830723", "40.29322548028311"], ["If yiu don't respond .o an email within 7 days, you willxbe<br>killed by an animated gif of the girl froa The Ri.g.", "0.15355485677719113", "42.01213346814965"], ["#UKVI why are you so difficult to access? And why on earth<br>am I being charged exorbitant amounts to understand about my<br>visa status?!  #crap", "0.16115247488021847", "43.98382204246714"], ["@user SPARKLES, proud little huff. Still posing mind you.", "0.16643414570360762", "45.146612740141556"], ["It's not length, it's A #gnawing #sense of #dread.", "0.1700683212280273", "46.00606673407482"], ["@user but what I am doing is in my control, #AvoidMMT , you<br>guys are", "0.18111944437026975", "47.97775530839232"], ["@user @user no it was a selfie of him from seven months  ago<br>look at the top left of the snap people", "0.18668478362414295", "49.24165824064712"], ["And the idiots are still gobbing their ridiculous garbage<br>with no better brain it's all they do: the relentless<br>braindead garbage gobbers", "0.18988320231437678", "50.0"], ["@user I'm not on about history or  other people, I'm on<br>about you. I've bullied no one, I make three posts and you<br>attack #bully", "0.20029503822326655", "52.02224469160768"], ["@user Happy #blissful birthday", "0.2069354215446783", "52.881698685540954"], ["@user @user @user @user @user  Comparing Akshay Sir with<br>this zandu balm is an insult to Akshay Sir.", "0.21410983085632324", "53.99393326592518"], ["@user You have no Police credentials-You were a litigator.<br>Nothing more-No Experience. #Sad #TrumpPuppet #Felon <br>#jersey4sale", "0.22345007896423344", "56.01617795753286"], ["@user nick fury", "0.22718605946521364", "56.52173913043478"], ["Hoping the Giant ice that broke off will cool the ocean and<br>bring back the Great Barrier Reef #optimism #amirighttho<br>#sigh", "0.23715757608413696", "57.98786653185035"], ["and I don't want to spread it all over my twitter. It's my<br>choice, but I, at least, needed to say this as I don't want<br>to worry people.", "0.24743669738574897", "59.403437815975735"], ["The #World and it's communities and #leaders are #laughing<br>at #America as #trump #destroys #America with his #nonstopli-<br>es &amp; #racism #hatred.", "0.2504179358482361", "60.01011122345804"], ["@user Same it's good but not great.Don't Breathe is the<br>horror film of the month for me. My Fav horror film of the<br>year (so far)", "0.2626359903812408", "61.98179979777553"], ["@user Was DonJr  target of #sting b/c #RobGoldstoneEmail has<br>all conspiracy-crime elements? HRC knew b/c tied Trump2Russi-<br>a by 6/16?", "0.2676873353062843", "62.74014155712841"], ["When you wake up, scroll through social media, and another<br>father was taken from his child  #everyday #KeithLamontScot-<br>t", "0.2773135447502136", "64.00404448938322"], ["@user impossible to say. We can only hope that I don\u2019t<br>unwittingly trigger her ferocious side again. Hell hath no<br>fury..", "0.2879379732268197", "64.91405460060668"], ["@user DO THE THING enrage all the people who cannot Do The<br>Thing", "0.29628963708877565", "65.9757330637007"], ["The Republicans need to offer a detailed and competitive<br>plan, if they don't buy counter terrorism, or their own<br>plan.", "0.308188611147355", "67.3407482305359"], ["@user @user Please. Don't insult Goths.", "0.3155417060852051", "67.9979777553084"], ["@user sorry to upset u madam.If you have got any queries<br>don't hesitate to contact our PR department.In the meantime<br>do you fancy a beer?", "0.32843924906789035", "69.8685540950455"], ["I'm mad at the injustice, so I'm going to smash my<br>neighbours windows'.  Makes perfect sense. #CharlotteProtes-<br>t", "0.3300705373287201", "69.96966632962588"], ["Feels grim not having your nails done", "0.3486898869884257", "71.73913043478261"], ["The gravediggers looked #solemn. The groundhog blinked back<br>tears. The crows fell silent.\\nHey, what about ME!  crowed<br>the rooster.\\n#vss365", "0.3523251557350158", "71.99191102123356"], ["Thinking about trying some comedy on youtube. Always been<br>fond of it. Time to nut up. #laughter #comedy #maybeoneday<br>#hopefullyfunny #LOL", "0.368940524908961", "73.45803842264914"], ["@user @user @user You need a new tactic post-Trump/Brexit.<br>Hurling that insult around no longer works I'm afraid.", "0.3741067087650298", "73.96359959555106"], ["Everything you\u2019ve ever wanted is on the other side of fear.<br>\u2013George Addair #ThursdayThoughts #yourpushfactor #fear #life<br>#quote", "0.3891911628294964", "75.83417593528817"], ["#ahs6 every 5 minutes I've been saying 'nope nope I'd be<br>gone by now.' 'MOVE' or 'GTFO' so thank you for the", "0.3896592283248901", "75.98584428715874"], ["@user AP didn't have a productive week 1 or 1st half against<br>GB and Kalil is horrible! @user D is its strongest asset<br>currently.", "0.4094418007500317", "77.75530839231547"], ["I think that Nuclear weapon and Cyber weapon are big<br>threats, but I think that the bigger threat is Scalar weapon<br>...\\n#scalar #threat", "0.4133240878582", "78.00808897876644"], ["World wants #peace from #terrorism #WorldPeaceDay #internati-<br>onaldayofpeace", "0.42969243867056706", "79.22143579373105"], ["I always thought I was too empathetic but it's becoming<br>clear that the majority of you guys are plain insensitive to<br>an alarming degree", "0.4406543731689454", "79.97977755308392"], ["I truly feel like science has the ability to make a milk out<br>of anything ... cashew milk, hemp milk, pine nut milk,<br>dandelion milk", "0.4499430765911024", "80.48533872598584"], ["@user @user That part of Queensbury is a shocking disgrace.<br>The route from the station to Morrisons is festooned with<br>rubbish", "0.4701937145116377", "81.74924165824065"], ["Dark, dense, and exhilarating come the finale, #HellOrHighWa-<br>ter is a gripping watch.", "0.4721104454994202", "82.0020222446916"], ["#internationaldayofpeace Want peace,prepare for war. 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Surely not the best use of energy.", "0.5916975420348498", "88.82709807886754"], ["@user The little details in life can build up to things that<br>could affect you negatively and eventually make unhappy and<br>lonely.", "0.6119481799553852", "89.38321536905966"], ["@user Virtually every statement by other countries at #UN<br>has referred to #terror as main threat to peace, #Pak still<br>in denial.", "0.6321988178759205", "89.98988877654196"], ["@user \u2190would furrow and her face would redden as she<br>protests; it would seem that being seen as unattractive in<br>Wukong's eyes was\u2192", "0.6524494557964559", "90.84934277047523"], ["If my concerns &amp; anxiety don't matter to you then I<br>shall return the favor. #EyeMatter", "0.6727000937169912", "91.30434782608695"], [".@AlistairBurtUK states that DfiD is working hard to ensure<br>Palestine isn't funding terrorism #FCOQs", "0.6929507316375265", "91.86046511627907"], ["Anger is cheap and politeness is expensive. 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Friedrich<br>Nietzsche #friedrichnietzsche", "0.7942039212402032", "94.38827098078868"], ["Each of ye separate FALLEN; if we quickening his wrath upon<br>us, will only cause our PAIN to be more unbearable in that<br>PIT.", "0.8144545591607386", "94.84327603640041"], ["ethan was with someone in the car when he did his revenge on<br>grayson", "0.8347051970812739", "94.9443882709808"], ["Hope was an instinct only the reasoning human mind could<br>kill. An animal never knew despair.", "0.8549558350018093", "95.44994944388272"], ["The man who is a pessimist before 48 knows too much; if he<br>is an optimist after it, he knows too little.'\\n-Mark Twain", "0.8752064729223447", "95.80384226491405"], ["Does #fear of #Missions still have a hold on you? 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false, "title": {"text": "Formality"}}, "yaxis": {"fixedrange": true, "title": {"text": "Probability Density"}}}, "_py2js_addTraces": {}, "_py2js_animate": {}, "_py2js_deleteTraces": {}, "_py2js_moveTraces": {}, "_py2js_relayout": {}, "_py2js_removeLayoutProps": {}, "_py2js_removeTraceProps": {}, "_py2js_restyle": {}, "_py2js_update": {}, "_view_count": 0}}, "e0b19ba0e9a841a78ce2c0501d82f893": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d5ffff22f22a4b1bb7a985045fedc14f", "style": "IPY_MODEL_9f4a4aee21634e08a98824b1403052e1", "value": "<div><h5><b>Properties Not Shown:</h5></b></div>"}}, "d5ffff22f22a4b1bb7a985045fedc14f": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "9f4a4aee21634e08a98824b1403052e1": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "db2bac1f4f9a4544a48ff4ff27a0cf93": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_3feaa37cf80d42c2ab86be7ae33fafe6", "style": "IPY_MODEL_e3ab008858314a2fa137e2e9822bfd4b", "value": "<style type=\"text/css\">\n#T_11862_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_11862_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_11862_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_11862_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_11862_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_11862_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >More Info</th>\n      <th class=\"col_heading level0 col1\" >Properties</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_11862_row0_col0\" class=\"data row0 col0\" >No outliers found.</td>\n      <td id=\"T_11862_row0_col1\" class=\"data row0 col1\" >Text Length, Subjectivity, Fluency</td>\n    </tr>\n    <tr>\n      <td id=\"T_11862_row1_col0\" class=\"data row1 col0\" >Outliers found but not shown in graphs (n_show_top=5).</td>\n      <td id=\"T_11862_row1_col1\" class=\"data row1 col1\" >Average Word Length, % Special Characters</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "3feaa37cf80d42c2ab86be7ae33fafe6": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "e3ab008858314a2fa137e2e9822bfd4b": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "889f5ad11c6d45b3a4ecf3a122fc545b": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_b9e25024198c412d8bffb19eee1926b2", "style": "IPY_MODEL_4bda48f828d34393ac99e7e6d19ca446", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\" style=\"font-size: 14px;\">Go to top</a>"}}, "b9e25024198c412d8bffb19eee1926b2": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "4bda48f828d34393ac99e7e6d19ca446": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "81b09249feb94ad9ab6145362d42e610": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "6e6488f70f73426c803c4ebb31f91378": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f128593fcbca4beb8968083b499982de": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_9cdb5ea7f29a4e5ab9640f2df0bd0a9d", "IPY_MODEL_d4310e5f876c419b864be6ae1892fabc", "IPY_MODEL_b4e179bd4ab349039a08990ebad08917", "IPY_MODEL_58c4a8b1573840fdae53da97fe8fe762"], "layout": "IPY_MODEL_80b27225f018489a9f2e314fb4682e68"}}, "9cdb5ea7f29a4e5ab9640f2df0bd0a9d": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_b12b1ea996d84a5bad5b5ec8f571d08c", "style": "IPY_MODEL_7966ba76bdfb4c46b7d26a2b293f22cf", "value": "<h4 id=\"UnknownTokens-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\"><b>Unknown Tokens - Train Dataset</b></h4>"}}, "b12b1ea996d84a5bad5b5ec8f571d08c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "7966ba76bdfb4c46b7d26a2b293f22cf": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "d4310e5f876c419b864be6ae1892fabc": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_45903fbeace94d4395bb6ca76a5cfa92", "style": "IPY_MODEL_40dfd8e114fb4fc3bf47ca69db874b1e", "value": "<p>Find samples that contain tokens unsupported by your tokenizer. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_unknown_tokens.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "45903fbeace94d4395bb6ca76a5cfa92": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "40dfd8e114fb4fc3bf47ca69db874b1e": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "b4e179bd4ab349039a08990ebad08917": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_8b5ada78c9fd493186766227a9a48c4b", "style": "IPY_MODEL_e2fc1160962e457887ddd9a91554f20f", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_6eb49_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6eb49_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6eb49_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6eb49_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6eb49_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_6eb49_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_6eb49_row0_col0\" class=\"data row0 col0\" ><div style=\"color: red;text-align: center\">\u2716</div></td>\n      <td id=\"T_6eb49_row0_col1\" class=\"data row0 col1\" >Ratio of unknown words is less than 0%</td>\n      <td id=\"T_6eb49_row0_col2\" class=\"data row0 col2\" >Ratio was 0.79%</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "8b5ada78c9fd493186766227a9a48c4b": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "e2fc1160962e457887ddd9a91554f20f": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "58c4a8b1573840fdae53da97fe8fe762": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_8e61fe44b463443399d78292c8b7d2ef", "IPY_MODEL_fc407a0ee50048668887a12763eb27d8", "IPY_MODEL_219b74ef5098498985b8cd083d11b9af", 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"zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}, "title": {"text": "Words containing Unknown Tokens - bert-base-uncased Tokenizer<br>(0.79% of all words)", "x": 0.5, "y": 0.95}}, "_py2js_addTraces": {}, "_py2js_animate": {}, "_py2js_deleteTraces": {}, "_py2js_moveTraces": {}, "_py2js_relayout": {}, "_py2js_removeLayoutProps": {}, "_py2js_removeTraceProps": {}, "_py2js_restyle": {}, "_py2js_update": {}, "_view_count": 0}}, "219b74ef5098498985b8cd083d11b9af": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_ea1dffb01e1d49e59b02f73c6189cfd4", "style": "IPY_MODEL_5b3b7edad4144ab9a6474d18801312de", "value": "<div><p style=\"font-size:0.9em;line-height:1;\"><i>Percents shown above are the percent of each word (or group of words) out of all words in the data.</div>"}}, "ea1dffb01e1d49e59b02f73c6189cfd4": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5b3b7edad4144ab9a6474d18801312de": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "f46c26007c3f4b8280c92b43a1735176": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_9ca44c35df714ff4babe8269afe7231a", "style": "IPY_MODEL_2016a70245d14e3c8f15930296a47244", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\" style=\"font-size: 14px;\">Go to top</a>"}}, "9ca44c35df714ff4babe8269afe7231a": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "2016a70245d14e3c8f15930296a47244": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "548ce6eb2437416bb0845d339b6cb128": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "80b27225f018489a9f2e314fb4682e68": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "54bf798523784d069921f8e2f3e936d1": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_da5b3db1218147e7b8d780685a10f8d8", "IPY_MODEL_f8474f8e0f7e45cc9bb1ee0e898c4ed7", "IPY_MODEL_2dbbc6f0c6e646b7904e5e0fa2fa32c2", "IPY_MODEL_a5a9918c01b04e228b5cd16f1dcd4a83"], "layout": "IPY_MODEL_fd149f8609824a7abcc9fd3050102421"}}, "da5b3db1218147e7b8d780685a10f8d8": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_0dbdce7d77524a76824a65c2c9ec95b0", "style": "IPY_MODEL_76781bfd7653454e89c4617c8a902b89", "value": "<h4 id=\"UnknownTokens-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\"><b>Unknown Tokens - Test Dataset</b></h4>"}}, "0dbdce7d77524a76824a65c2c9ec95b0": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "76781bfd7653454e89c4617c8a902b89": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "f8474f8e0f7e45cc9bb1ee0e898c4ed7": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_05863dc092c44e578cb5d169cd08952e", "style": "IPY_MODEL_24e157492d1541a8aaa89ff403c69559", "value": "<p>Find samples that contain tokens unsupported by your tokenizer. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_unknown_tokens.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "05863dc092c44e578cb5d169cd08952e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "24e157492d1541a8aaa89ff403c69559": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "2dbbc6f0c6e646b7904e5e0fa2fa32c2": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_7d49dc393cfa42a698a62e28b935aa49", "style": "IPY_MODEL_a16809a71ca24fdfbfecf5d24cb5b61b", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_442d7_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_442d7_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_442d7_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_442d7_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_442d7_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_442d7_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_442d7_row0_col0\" class=\"data row0 col0\" ><div style=\"color: red;text-align: center\">\u2716</div></td>\n      <td id=\"T_442d7_row0_col1\" class=\"data row0 col1\" >Ratio of unknown words is less than 0%</td>\n      <td id=\"T_442d7_row0_col2\" class=\"data row0 col2\" >Ratio was 0.68%</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "7d49dc393cfa42a698a62e28b935aa49": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "a16809a71ca24fdfbfecf5d24cb5b61b": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "a5a9918c01b04e228b5cd16f1dcd4a83": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_0844558afb8b4635bd403c9ee8b13d87", "IPY_MODEL_dcc0a0a4f839470fbed597c7284c39a8", "IPY_MODEL_19bbd761c23d4059b1ac84eb44012c88", "IPY_MODEL_4ae5dc9cd9974a299fd6373d9e31ba4b"], "layout": "IPY_MODEL_5f0ebac594f24e5e88bb832a13c46924"}}, "0844558afb8b4635bd403c9ee8b13d87": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_79eefd6d62484702a936c1bf9585a702", "style": "IPY_MODEL_4e834009884b4466abd539abda4d860f", "value": "<h5><b>Additional Outputs</b></h5>"}}, "79eefd6d62484702a936c1bf9585a702": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "4e834009884b4466abd539abda4d860f": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "dcc0a0a4f839470fbed597c7284c39a8": {"model_name": "FigureModel", "model_module": "jupyterlab-plotly", "model_module_version": "^5.17.0", "state": {"_config": {"plotlyServerURL": "https://plot.ly"}, "_data": [{"hovertemplate": ["<b>Unknown Word</b>: %{hovertext}<br><b>Percent of All Words</b>: %{value}%<extra></extra>", "<b>Unknown Word</b>: %{hovertext}<br><b>Percent of All Words</b>: %{value}%<extra></extra>", "<b>Unknown Word</b>: %{hovertext}<br><b>Percent of All Words</b>: %{value}%<extra></extra>", "<b>Unknown Word</b>: %{hovertext}<br><b>Percent of All Words</b>: %{value}%<extra></extra>", "<b>Unknown Word</b>: %{hovertext}<br><b>Percent of All Words</b>: %{value}%<extra></extra>", "<b>Other Unknown Words</b>: %{hovertext}<br><b>Percent of All Words</b>: %{value}%<extra></extra>"], "hovertext": ["\ud83d\ude02", "\ud83d\ude2d", "\ud83d\ude21", "\ud83d\ude22", "\ud83d\ude1e", "\ud83d\udca9, \ud83d\ude02\ud83d\ude2d, \ud83d\ude37\ud83d\ude37, \ud83d\ude0d\ud83d\ude0d, \ud83c\udfe1, \ud83d\udd25, \ud83d\ude37\ud83d\ude21\ud83c\udf5e, \ud83c\udf39\ud83c\udf41\ud83c\udf13\u262f..."], "labels": ["\ud83d\ude02", "\ud83d\ude2d", "\ud83d\ude21", "\ud83d\ude22", "\ud83d\ude1e", "Other Unknown Words"], "pull": [0, 0, 0, 0, 0, 0.1], "texttemplate": "%{label}<br>%{value}%", "values": [0.045, 0.026, 0.015, 0.013, 0.013, 0.57], "type": "pie", "uid": "91d00234-8e78-49d8-b919-6cc2d7cf8482"}], "_dom_classes": [], "_js2py_layoutDelta": {}, "_js2py_pointsCallback": {}, "_js2py_relayout": {}, "_js2py_restyle": {}, "_js2py_traceDeltas": {}, "_js2py_update": {}, "_layout": {"legend": {"title": {"text": "Words with Unknown Tokens"}}, "margin": {"b": 0, "l": 0, "r": 0, "t": 100}, "template": {"data": {"barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}, "pattern": {"fillmode": "overlay", "size": 10, "solidity": 0.2}}, "type": "barpolar"}], "bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}, "pattern": {"fillmode": "overlay", "size": 10, "solidity": 0.2}}, "type": "bar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmapgl"}], "heatmap": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "heatmap"}], "histogram2dcontour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram": [{"marker": {"pattern": {"fillmode": "overlay", "size": 10, "solidity": 0.2}}, "type": "histogram"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatter3d"}], "scattercarpet": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattercarpet"}], "scattergeo": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergeo"}], "scattergl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattergl"}], "scattermapbox": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scattermapbox"}], "scatterpolargl": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolargl"}], "scatterpolar": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterpolar"}], "scatter": [{"fillpattern": {"fillmode": "overlay", "size": 10, "solidity": 0.2}, "type": "scatter"}], "scatterternary": [{"marker": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "scatterternary"}], "surface": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}, "title": {"text": "Words containing Unknown Tokens - bert-base-uncased Tokenizer<br>(0.68% of all words)", "x": 0.5, "y": 0.95}}, "_py2js_addTraces": {}, "_py2js_animate": {}, "_py2js_deleteTraces": {}, "_py2js_moveTraces": {}, "_py2js_relayout": {}, "_py2js_removeLayoutProps": {}, "_py2js_removeTraceProps": {}, "_py2js_restyle": {}, "_py2js_update": {}, "_view_count": 0}}, "19bbd761c23d4059b1ac84eb44012c88": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_a4ca28693baa4379ad29e46bba1d819e", "style": "IPY_MODEL_b2d6bd61183b4118b97fe98b6359c55c", "value": "<div><p style=\"font-size:0.9em;line-height:1;\"><i>Percents shown above are the percent of each word (or group of words) out of all words in the data.</div>"}}, "a4ca28693baa4379ad29e46bba1d819e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "b2d6bd61183b4118b97fe98b6359c55c": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "4ae5dc9cd9974a299fd6373d9e31ba4b": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_eb3e0ccddff94c9eadfed67b01677e34", "style": "IPY_MODEL_f215a2e021aa401f8386d6c315e4b6ff", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-EP7Y6\" style=\"font-size: 14px;\">Go to top</a>"}}, "eb3e0ccddff94c9eadfed67b01677e34": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f215a2e021aa401f8386d6c315e4b6ff": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "5f0ebac594f24e5e88bb832a13c46924": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "fd149f8609824a7abcc9fd3050102421": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "e7cd5ab2849b43a8a28acbe3914bccd5": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5e664465b4ba442e9a6269223c217f2e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "2955a897a9444086bd743ab51cc92223": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "2f0bdb92b6854c0b8092e07b461d829d": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_8c076975634740e6969e7be4e629c90e", "IPY_MODEL_daf68eead7144175ba7efd71a736e375"], "layout": "IPY_MODEL_797b5700f3f9483082ea7f311112d56a"}}, "8c076975634740e6969e7be4e629c90e": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_15d57cde81e04c2eab44955d28ad1f87", "style": "IPY_MODEL_62d3b6a32a654645a66fee87a406600c", "value": "<span id=\"summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"></span>"}}, "15d57cde81e04c2eab44955d28ad1f87": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "62d3b6a32a654645a66fee87a406600c": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "daf68eead7144175ba7efd71a736e375": {"model_name": "AccordionModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "_titles": {"0": "Passed"}, "children": ["IPY_MODEL_9fe4e868e8ae40f89760751c9ee84b7a"], "layout": "IPY_MODEL_9b2aa272e9d54908b50f55dfdbb5d137", "selected_index": null}}, "9fe4e868e8ae40f89760751c9ee84b7a": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_c146c2b99bb94558926b74977b32e0f8", "IPY_MODEL_7cb17df73f8b482aac5193998c7a8466", "IPY_MODEL_40bef2638be94641a1421d793f2ede96", "IPY_MODEL_96a0bbeaa7fa4eb3848fd789df826553", "IPY_MODEL_b0104254f73f40d8b282cea3e45eec4e", "IPY_MODEL_96a0bbeaa7fa4eb3848fd789df826553", "IPY_MODEL_fa122708f9a749f0a7a465ccc9a98bc7", "IPY_MODEL_96a0bbeaa7fa4eb3848fd789df826553", "IPY_MODEL_222a0453ce3e45bc9f514a6367fb174e", "IPY_MODEL_96a0bbeaa7fa4eb3848fd789df826553", "IPY_MODEL_5d96947d1895425caad71c8bf4b55c43", "IPY_MODEL_96a0bbeaa7fa4eb3848fd789df826553", "IPY_MODEL_28cafe63fdec49a6be14040995a0eaf7", "IPY_MODEL_96a0bbeaa7fa4eb3848fd789df826553", "IPY_MODEL_77120188e2ac4d35aea1baf6de05d264", "IPY_MODEL_96a0bbeaa7fa4eb3848fd789df826553", "IPY_MODEL_f1ce7f0346914588841a28b86443a7f0", "IPY_MODEL_96a0bbeaa7fa4eb3848fd789df826553", "IPY_MODEL_b94803cdd5b945868805041fac75f269", "IPY_MODEL_96a0bbeaa7fa4eb3848fd789df826553", "IPY_MODEL_8359d0ce81754324a857b8f6e31b9ad8"], "layout": "IPY_MODEL_4f62af9b6c4b4264a9ee210edf0f65b9"}}, "c146c2b99bb94558926b74977b32e0f8": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_51da9cb81ef448d8a2da40cd1758c683", "style": "IPY_MODEL_ef69b7ffb61c47759b8c23f00477255d", "value": "<style type=\"text/css\">\n#T_690ae_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_690ae_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_690ae_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_690ae_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_690ae_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_690ae_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Check</th>\n      <th class=\"col_heading level0 col2\" >Condition</th>\n      <th class=\"col_heading level0 col3\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_690ae_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row0_col1\" class=\"data row0 col1\" ><a href=\"#UnderAnnotatedPropertySegments-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Under Annotated Property Segments - Train Dataset</a></td>\n      <td id=\"T_690ae_row0_col2\" class=\"data row0 col2\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_690ae_row0_col3\" class=\"data row0 col3\" >Under annotated properties segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row1_col0\" class=\"data row1 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row1_col1\" class=\"data row1 col1\" ><a href=\"#UnderAnnotatedPropertySegments-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Under Annotated Property Segments - Test Dataset</a></td>\n      <td id=\"T_690ae_row1_col2\" class=\"data row1 col2\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_690ae_row1_col3\" class=\"data row1 col3\" >Under annotated properties segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row2_col0\" class=\"data row2 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row2_col1\" class=\"data row2 col1\" ><a href=\"#UnderAnnotatedMetaDataSegments-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Under Annotated Meta Data Segments - Train Dataset</a></td>\n      <td id=\"T_690ae_row2_col2\" class=\"data row2 col2\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_690ae_row2_col3\" class=\"data row2 col3\" >Under annotated metadata segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row3_col0\" class=\"data row3 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row3_col1\" class=\"data row3 col1\" ><a href=\"#UnderAnnotatedMetaDataSegments-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Under Annotated Meta Data Segments - Test Dataset</a></td>\n      <td id=\"T_690ae_row3_col2\" class=\"data row3 col2\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_690ae_row3_col3\" class=\"data row3 col3\" >Under annotated metadata segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row4_col0\" class=\"data row4 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row4_col1\" class=\"data row4 col1\" ><a href=\"#Property-LabelCorrelation-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Property-Label Correlation - Train Dataset</a></td>\n      <td id=\"T_690ae_row4_col2\" class=\"data row4 col2\" >Properties' Predictive Power Score is less than 0.3</td>\n      <td id=\"T_690ae_row4_col3\" class=\"data row4 col3\" >Passed for 10 relevant columns</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row5_col0\" class=\"data row5 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row5_col1\" class=\"data row5 col1\" ><a href=\"#Property-LabelCorrelation-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Property-Label Correlation - Test Dataset</a></td>\n      <td id=\"T_690ae_row5_col2\" class=\"data row5 col2\" >Properties' Predictive Power Score is less than 0.3</td>\n      <td id=\"T_690ae_row5_col3\" class=\"data row5 col3\" >Passed for 10 relevant columns</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row6_col0\" class=\"data row6 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row6_col1\" class=\"data row6 col1\" ><a href=\"#TextDuplicates-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Text Duplicates - Test Dataset</a></td>\n      <td id=\"T_690ae_row6_col2\" class=\"data row6 col2\" >Duplicate data ratio is less or equal to 5%</td>\n      <td id=\"T_690ae_row6_col3\" class=\"data row6 col3\" >Found 0.05% duplicate data</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row7_col0\" class=\"data row7 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row7_col1\" class=\"data row7 col1\" ><a href=\"#TextDuplicates-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Text Duplicates - Train Dataset</a></td>\n      <td id=\"T_690ae_row7_col2\" class=\"data row7 col2\" >Duplicate data ratio is less or equal to 5%</td>\n      <td id=\"T_690ae_row7_col3\" class=\"data row7 col3\" >Found 0.04% duplicate data</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row8_col0\" class=\"data row8 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row8_col1\" class=\"data row8 col1\" ><a href=\"#SpecialCharacters-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Special Characters - Train Dataset</a></td>\n      <td id=\"T_690ae_row8_col2\" class=\"data row8 col2\" >Ratio of samples containing more than 20% special characters is below 5%</td>\n      <td id=\"T_690ae_row8_col3\" class=\"data row8 col3\" >Found 1 samples with special char ratio above threshold</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row9_col0\" class=\"data row9 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row9_col1\" class=\"data row9 col1\" ><a href=\"#SpecialCharacters-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\">Special Characters - Test Dataset</a></td>\n      <td id=\"T_690ae_row9_col2\" class=\"data row9 col2\" >Ratio of samples containing more than 20% special characters is below 5%</td>\n      <td id=\"T_690ae_row9_col3\" class=\"data row9 col3\" >Found 3 samples with special char ratio above threshold</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row10_col0\" class=\"data row10 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row10_col1\" class=\"data row10 col1\" >Conflicting Labels - Test Dataset</td>\n      <td id=\"T_690ae_row10_col2\" class=\"data row10 col2\" >Ambiguous sample ratio is less or equal to 0%</td>\n      <td id=\"T_690ae_row10_col3\" class=\"data row10 col3\" >Ratio of samples with conflicting labels: 0%</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row11_col0\" class=\"data row11 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row11_col1\" class=\"data row11 col1\" >Conflicting Labels - Train Dataset</td>\n      <td id=\"T_690ae_row11_col2\" class=\"data row11 col2\" >Ambiguous sample ratio is less or equal to 0%</td>\n      <td id=\"T_690ae_row11_col3\" class=\"data row11 col3\" >Ratio of samples with conflicting labels: 0%</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row12_col0\" class=\"data row12 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row12_col1\" class=\"data row12 col1\" >Frequent Substrings - Train Dataset</td>\n      <td id=\"T_690ae_row12_col2\" class=\"data row12 col2\" >No more than 1 substrings with ratio above 0.05</td>\n      <td id=\"T_690ae_row12_col3\" class=\"data row12 col3\" >Found 0 substrings with ratio above threshold</td>\n    </tr>\n    <tr>\n      <td id=\"T_690ae_row13_col0\" class=\"data row13 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_690ae_row13_col1\" class=\"data row13 col1\" >Frequent Substrings - Test Dataset</td>\n      <td id=\"T_690ae_row13_col2\" class=\"data row13 col2\" >No more than 1 substrings with ratio above 0.05</td>\n      <td id=\"T_690ae_row13_col3\" class=\"data row13 col3\" >Found 0 substrings with ratio above threshold</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "51da9cb81ef448d8a2da40cd1758c683": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ef69b7ffb61c47759b8c23f00477255d": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "7cb17df73f8b482aac5193998c7a8466": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_26f0a77f5cff4b18be545bc47b6418a8", "style": "IPY_MODEL_d7a1e5935cb34384a5ed2c9399b11938", "value": "<hr style=\"background-color: #eee;border: 0 none;color: #eee;height: 4px;\">"}}, "26f0a77f5cff4b18be545bc47b6418a8": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "d7a1e5935cb34384a5ed2c9399b11938": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "40bef2638be94641a1421d793f2ede96": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_0037d00537134dc8a6faeb55db4b1f71", "IPY_MODEL_4c59e65a079e4ce7b2ae26dc911fd5a2", "IPY_MODEL_eeb4d8321cdc420182bf47223bab8666", "IPY_MODEL_5da76d694860469bbbd2bab710ad2cf0"], "layout": "IPY_MODEL_e72e7d30bded402193a461fb8d3a533f"}}, "0037d00537134dc8a6faeb55db4b1f71": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d3d54eb62d3b465d8ac3f1b14bbf2a49", "style": "IPY_MODEL_421fc8746bc34bafb0c6bb5ed22a4fe3", "value": "<h4 id=\"UnderAnnotatedPropertySegments-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Under Annotated Property Segments - Train Dataset</b></h4>"}}, "d3d54eb62d3b465d8ac3f1b14bbf2a49": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "421fc8746bc34bafb0c6bb5ed22a4fe3": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "4c59e65a079e4ce7b2ae26dc911fd5a2": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_7670f24f19014116b2f804c9ba7e1985", "style": "IPY_MODEL_68a007fb14a74e3581f975a22a6e52ec", "value": "<p>Search for under annotated data segments. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_under_annotated_segments.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "7670f24f19014116b2f804c9ba7e1985": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "68a007fb14a74e3581f975a22a6e52ec": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "eeb4d8321cdc420182bf47223bab8666": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_97e7c756af8f46388f30ad24135eaf6b", "style": "IPY_MODEL_7d095a56bc244e97a870eb13ec2a824b", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_588d2_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_588d2_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_588d2_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_588d2_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_588d2_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_588d2_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_588d2_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_588d2_row0_col1\" class=\"data row0 col1\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_588d2_row0_col2\" class=\"data row0 col2\" >Under annotated properties segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "97e7c756af8f46388f30ad24135eaf6b": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "7d095a56bc244e97a870eb13ec2a824b": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "5da76d694860469bbbd2bab710ad2cf0": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_78b5a5156e694b07a275e8258c3fae62", "IPY_MODEL_1dbfdb3199454122bb63ad271dc4f9eb", "IPY_MODEL_0946aa82620f4bd0a02c912fe516f21a"], "layout": "IPY_MODEL_409e5b70975b4672af82c7b60c700895"}}, "78b5a5156e694b07a275e8258c3fae62": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_48c799f713944a3ebc3a802542af457a", "style": "IPY_MODEL_ac903f8732b44a709f84aa65ae345f7f", "value": "<h5><b>Additional Outputs</b></h5>"}}, "48c799f713944a3ebc3a802542af457a": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ac903f8732b44a709f84aa65ae345f7f": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "1dbfdb3199454122bb63ad271dc4f9eb": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_744919f840044e569e0c99331da5659f", "style": "IPY_MODEL_13d7b40168de43b9a383501c3ed8e031", "value": "<div>Under annotated properties segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</div>"}}, "744919f840044e569e0c99331da5659f": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "13d7b40168de43b9a383501c3ed8e031": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "0946aa82620f4bd0a02c912fe516f21a": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_0043dad2b53249d28c3e66d61d089ff4", "style": "IPY_MODEL_fe566481871f4e5ca914a6e10ca37360", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\" style=\"font-size: 14px;\">Go to top</a>"}}, "0043dad2b53249d28c3e66d61d089ff4": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "fe566481871f4e5ca914a6e10ca37360": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "409e5b70975b4672af82c7b60c700895": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "e72e7d30bded402193a461fb8d3a533f": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "96a0bbeaa7fa4eb3848fd789df826553": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_57e80b8ddcc74c15bc69d27659a15069", "style": "IPY_MODEL_b7611c3c57c84930922b216a28bce7fa", "value": "<hr style=\"background-color: #eee;border: 0 none;color: #eee;height: 4px;\">"}}, "57e80b8ddcc74c15bc69d27659a15069": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "b7611c3c57c84930922b216a28bce7fa": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "b0104254f73f40d8b282cea3e45eec4e": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_af2d538d3faf4f3bbf36337e4bcb7ed9", "IPY_MODEL_651cad0e164f4377a3322319e5428475", "IPY_MODEL_cce9f23ad01e4578a650b9f94318392e", "IPY_MODEL_777d7af33a8f474c839474b3af9bae69"], "layout": "IPY_MODEL_e15d0c2520d644f4a7ae94b0d5a73249"}}, "af2d538d3faf4f3bbf36337e4bcb7ed9": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_eaf42bef7e23466e9e375f17b3354cec", "style": "IPY_MODEL_6b3b7bf0a0ca4bc4b2ec2baa897c7301", "value": "<h4 id=\"UnderAnnotatedPropertySegments-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Under Annotated Property Segments - Test Dataset</b></h4>"}}, "eaf42bef7e23466e9e375f17b3354cec": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "6b3b7bf0a0ca4bc4b2ec2baa897c7301": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "651cad0e164f4377a3322319e5428475": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_c0fcce4b89d146518f919d877c2e63f4", "style": "IPY_MODEL_a613a21a2f894b50b79c99abacd1c795", "value": "<p>Search for under annotated data segments. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_under_annotated_segments.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "c0fcce4b89d146518f919d877c2e63f4": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "a613a21a2f894b50b79c99abacd1c795": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "cce9f23ad01e4578a650b9f94318392e": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_9d7844e3a382453ba0ad06d8ba80ce96", "style": "IPY_MODEL_170f2a4c65f24f44a13b82c8b8e28580", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_9a1b2_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_9a1b2_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_9a1b2_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_9a1b2_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_9a1b2_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_9a1b2_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_9a1b2_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_9a1b2_row0_col1\" class=\"data row0 col1\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_9a1b2_row0_col2\" class=\"data row0 col2\" >Under annotated properties segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "9d7844e3a382453ba0ad06d8ba80ce96": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "170f2a4c65f24f44a13b82c8b8e28580": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "777d7af33a8f474c839474b3af9bae69": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_d2e5f8350e20459495760872e576ea10", "IPY_MODEL_4ae5b33fe7f04ec19cab0a9952b36f92", "IPY_MODEL_ebc6bb7168d94b5d94f8632120d57e2d"], "layout": "IPY_MODEL_8966c8f951364170a621fae92b724e27"}}, "d2e5f8350e20459495760872e576ea10": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_49406c50db764218b0cb405729302158", "style": "IPY_MODEL_bd5572a751574571951e3285f59d3f18", "value": "<h5><b>Additional Outputs</b></h5>"}}, "49406c50db764218b0cb405729302158": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "bd5572a751574571951e3285f59d3f18": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "4ae5b33fe7f04ec19cab0a9952b36f92": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_e0f629636cfb4251b6b5d7e218805c71", "style": "IPY_MODEL_f383839cc7744883a321f1d605d4d77e", "value": "<div>Under annotated properties segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</div>"}}, "e0f629636cfb4251b6b5d7e218805c71": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f383839cc7744883a321f1d605d4d77e": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "ebc6bb7168d94b5d94f8632120d57e2d": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_ae0990ab97fe4ef3b38913c5b853f505", "style": "IPY_MODEL_8add39b0d5cb4e2d9aba1f77b4323f83", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\" style=\"font-size: 14px;\">Go to top</a>"}}, "ae0990ab97fe4ef3b38913c5b853f505": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "8add39b0d5cb4e2d9aba1f77b4323f83": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "8966c8f951364170a621fae92b724e27": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "e15d0c2520d644f4a7ae94b0d5a73249": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "fa122708f9a749f0a7a465ccc9a98bc7": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_873b02c7f76448fe9c6315411c5a7805", "IPY_MODEL_58866d51587b45d196c81fdfce3939d5", "IPY_MODEL_b17bc018b07344ce91ee1d27eedbe3f6", "IPY_MODEL_c67f7f52a355467bb7e5eb6a649cbb09"], "layout": "IPY_MODEL_5308007e56af4bf6bc6d741a504511c4"}}, "873b02c7f76448fe9c6315411c5a7805": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d20580e5aa4d49b9b10354c7bde0316c", "style": "IPY_MODEL_1f07bc595f9f469d9493d5222578250c", "value": "<h4 id=\"UnderAnnotatedMetaDataSegments-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Under Annotated Meta Data Segments - Train Dataset</b></h4>"}}, "d20580e5aa4d49b9b10354c7bde0316c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "1f07bc595f9f469d9493d5222578250c": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "58866d51587b45d196c81fdfce3939d5": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_aca2645ce84447f4bbd2fb8bee617ddf", "style": "IPY_MODEL_54cf1cbd27ff4d8490e154b0b8e941b5", "value": "<p>Search for under annotated data segments. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_under_annotated_segments.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "aca2645ce84447f4bbd2fb8bee617ddf": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "54cf1cbd27ff4d8490e154b0b8e941b5": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "b17bc018b07344ce91ee1d27eedbe3f6": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_350e45c316da474ba5667d86eea645eb", "style": "IPY_MODEL_91df4b7799c1494cbd366862809af296", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_e37be_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_e37be_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_e37be_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_e37be_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_e37be_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_e37be_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_e37be_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_e37be_row0_col1\" class=\"data row0 col1\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_e37be_row0_col2\" class=\"data row0 col2\" >Under annotated metadata segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "350e45c316da474ba5667d86eea645eb": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "91df4b7799c1494cbd366862809af296": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "c67f7f52a355467bb7e5eb6a649cbb09": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_7ae4884d032747e6a51c51bbb73b4fa3", "IPY_MODEL_9160d531f1164993abd30059b9eb7a97", "IPY_MODEL_2a850d449bc3451bad163987a20dad03"], "layout": "IPY_MODEL_5f97d4450b0047189687b1400970810e"}}, "7ae4884d032747e6a51c51bbb73b4fa3": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_79230eb6f4cd48a280f62dff82a1ac4e", "style": "IPY_MODEL_67eaac7719914855ab855fcd1b265fbe", "value": "<h5><b>Additional Outputs</b></h5>"}}, "79230eb6f4cd48a280f62dff82a1ac4e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "67eaac7719914855ab855fcd1b265fbe": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "9160d531f1164993abd30059b9eb7a97": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_46b15d2a0a0d4cb08a6e57fa67bf9a51", "style": "IPY_MODEL_6b31e68de51149d69e304c9585cbb4e9", "value": "<div>Under annotated metadata segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</div>"}}, "46b15d2a0a0d4cb08a6e57fa67bf9a51": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "6b31e68de51149d69e304c9585cbb4e9": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "2a850d449bc3451bad163987a20dad03": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_b9824a2aebbe48469df8d3e4b9cdf4d9", "style": "IPY_MODEL_28c92d3e1588445db7c1752fbc329e20", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\" style=\"font-size: 14px;\">Go to top</a>"}}, "b9824a2aebbe48469df8d3e4b9cdf4d9": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "28c92d3e1588445db7c1752fbc329e20": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "5f97d4450b0047189687b1400970810e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5308007e56af4bf6bc6d741a504511c4": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "222a0453ce3e45bc9f514a6367fb174e": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_2ee7eb14dc45454f8493712df7ff9461", "IPY_MODEL_6a037a7e0a474ef5a89129f6bae3b68d", "IPY_MODEL_fc0eeb89798d47269e3a8b6da7222cdd", "IPY_MODEL_b93e09da24c64e5ba0211766851d0a6a"], "layout": "IPY_MODEL_4cf5164b65da40bf95a4e95be2adea71"}}, "2ee7eb14dc45454f8493712df7ff9461": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_57d4b252803b4f609d37e286a7d2cc85", "style": "IPY_MODEL_0a72ed5556a04f54889ab380076aafe4", "value": "<h4 id=\"UnderAnnotatedMetaDataSegments-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Under Annotated Meta Data Segments - Test Dataset</b></h4>"}}, "57d4b252803b4f609d37e286a7d2cc85": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "0a72ed5556a04f54889ab380076aafe4": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "6a037a7e0a474ef5a89129f6bae3b68d": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_2f84956cea2b433b9d8d44be9730276f", "style": "IPY_MODEL_bf51f423956d465e866d41da5264517b", "value": "<p>Search for under annotated data segments. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_under_annotated_segments.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "2f84956cea2b433b9d8d44be9730276f": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "bf51f423956d465e866d41da5264517b": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "fc0eeb89798d47269e3a8b6da7222cdd": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_da7133662a3c400aa552c28280db9d01", "style": "IPY_MODEL_48d35bcc9d6440959b09feb0dc3d31d9", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_59250_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_59250_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_59250_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_59250_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_59250_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_59250_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_59250_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_59250_row0_col1\" class=\"data row0 col1\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_59250_row0_col2\" class=\"data row0 col2\" >Under annotated metadata segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "da7133662a3c400aa552c28280db9d01": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "48d35bcc9d6440959b09feb0dc3d31d9": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "b93e09da24c64e5ba0211766851d0a6a": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_ca95417d8082414a8b472e1eee6a7583", "IPY_MODEL_2bcce73e0a244a2dbeb02cd471077003", "IPY_MODEL_06172d83eadc4f52aaa499a2f79b17a2"], "layout": "IPY_MODEL_7d74a6a395bd456f976cdb85ae91dccf"}}, "ca95417d8082414a8b472e1eee6a7583": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_c173da1c77cd4b17a67440496976adda", "style": "IPY_MODEL_6d7858a36b73407896c387a0f92ad8c6", "value": "<h5><b>Additional Outputs</b></h5>"}}, "c173da1c77cd4b17a67440496976adda": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "6d7858a36b73407896c387a0f92ad8c6": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "2bcce73e0a244a2dbeb02cd471077003": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_bc80e2e18d9e48cf950b2642921816f1", "style": "IPY_MODEL_d2151405eb444b0c9123d44c1b35f3d1", "value": "<div>Under annotated metadata segments check is skipped since your data annotation ratio is > 95.0%. Try increasing the annotation_ratio_threshold parameter.</div>"}}, "bc80e2e18d9e48cf950b2642921816f1": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "d2151405eb444b0c9123d44c1b35f3d1": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "06172d83eadc4f52aaa499a2f79b17a2": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_e10a7ccebf1b48dc9d2e8fe80a745dc2", "style": "IPY_MODEL_d1c9d4b1692e4c7ab440272e36b925d4", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\" style=\"font-size: 14px;\">Go to top</a>"}}, "e10a7ccebf1b48dc9d2e8fe80a745dc2": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "d1c9d4b1692e4c7ab440272e36b925d4": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "7d74a6a395bd456f976cdb85ae91dccf": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "4cf5164b65da40bf95a4e95be2adea71": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5d96947d1895425caad71c8bf4b55c43": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_ff8b8a27276e46f2b787a9eb9b40ccc5", "IPY_MODEL_db8ccc9d18624b16a8823de8c9781575", "IPY_MODEL_7cdef7c87de0429b804d5ddbfd68e893", "IPY_MODEL_dedc952f84254a5a9a5f74802eaa190d"], "layout": "IPY_MODEL_72c03b37178b455a98b1871ff01cccab"}}, "ff8b8a27276e46f2b787a9eb9b40ccc5": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_71056c1e53174fbf86a3bba337d77aed", "style": "IPY_MODEL_a09dc6f7c7474677a57a825a43235ca4", "value": "<h4 id=\"Property-LabelCorrelation-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Property-Label Correlation - Train Dataset</b></h4>"}}, "71056c1e53174fbf86a3bba337d77aed": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "a09dc6f7c7474677a57a825a43235ca4": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "db8ccc9d18624b16a8823de8c9781575": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_a2fc4553932e4d978036ad387d922e82", "style": "IPY_MODEL_cfaa7b3d8f534a9dbc4818e00976d735", "value": "<p>Return the PPS (Predictive Power Score) of all properties in relation to the label. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_property_label_correlation.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "a2fc4553932e4d978036ad387d922e82": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "cfaa7b3d8f534a9dbc4818e00976d735": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "7cdef7c87de0429b804d5ddbfd68e893": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_39e76dc4a0244a9eb191f1551c33e6bf", "style": "IPY_MODEL_e2370b481219470895e39254491e5e98", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_0c30e_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_0c30e_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_0c30e_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_0c30e_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_0c30e_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_0c30e_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_0c30e_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_0c30e_row0_col1\" class=\"data row0 col1\" >Properties' Predictive Power Score is less than 0.3</td>\n      <td id=\"T_0c30e_row0_col2\" class=\"data row0 col2\" >Passed for 10 relevant columns</td>\n    </tr>\n  </tbody>\n</table>\n"}}, 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"IPY_MODEL_c66e4f4e764b47f0973b297e389cd6fb", "value": "<h5><b>Additional Outputs</b></h5>"}}, "71a34619c85f4c22b78b54fd035e9ed6": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "c66e4f4e764b47f0973b297e389cd6fb": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "f3349220544f4460bb4849ff90b251e1": {"model_name": "FigureModel", "model_module": "jupyterlab-plotly", "model_module_version": "^5.17.0", "state": {"_config": {"plotlyServerURL": "https://plot.ly"}, "_data": [{"marker": {"color": "#00008b"}, "name": "Train", "text": ["<b>0.15</b>", "<b>0.12</b>", "<b>0.05</b>", "<b>0.04</b>", "<b>0.04</b>"], "textposition": "outside", "x": ["Sentiment", "Toxicity", "Fluency", "Formality", "% Special Characters"], "y": {"dtype": "float64", "shape": [5]}, "type": "bar", "uid": "7ee9a3c9-a310-4926-9ec0-4422a3704641"}], "_dom_classes": [], 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"#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}, "title": {"text": "Predictive Power Score (PPS) - Can a property predict the label by itself?"}, "xaxis": {"range": [-3, 7], "title": {"text": "Property"}, "type": "category"}, "yaxis": {"range": [0, 1.05], "title": {"text": "Predictive Power Score (PPS)"}}}, "_py2js_addTraces": {}, "_py2js_animate": {}, "_py2js_deleteTraces": {}, "_py2js_moveTraces": {}, "_py2js_relayout": {}, "_py2js_removeLayoutProps": {}, "_py2js_removeTraceProps": {}, "_py2js_restyle": {}, "_py2js_update": {}, "_view_count": 0}, "buffers": [{"encoding": "base64", "path": ["_data", 0, "y", "buffer"], "data": "myAICukSwz9V8ztygdG+P0IQ2VnCn6o/6OI7ZAxKpj/YchCIXnKlPw=="}]}, "12f4d826ed1a4c9290d28a4f95a296df": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_55b2db7d662b4ef79f6ba81f68ee57f9", "style": "IPY_MODEL_835d579ee77b4721b1002468de570651", "value": "<div>The Predictive Power Score (PPS) is used to estimate the ability of a property to predict the label by itself (Read more about <a href=https://docs.deepchecks.com/stable/tabular/auto_checks/train_test_validation/plot_feature_label_correlation_change.html target=\"_blank\">Predictive Power Score</a>).A high PPS (close to 1) can mean there's a bias in the dataset, as a single property can predict the label successfully, meaning that the model may accidentally learn these properties instead of more accurate complex abstractions.</div>"}}, "55b2db7d662b4ef79f6ba81f68ee57f9": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "835d579ee77b4721b1002468de570651": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "d201c89223154d529a937a69c6872982": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_0479f666c2de4cf29fed97ba689850c3", "style": "IPY_MODEL_cce372d5b34c40e7af0767cbc7fb32e1", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\" style=\"font-size: 14px;\">Go to top</a>"}}, "0479f666c2de4cf29fed97ba689850c3": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "cce372d5b34c40e7af0767cbc7fb32e1": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "c49b15c67f3b4fd29cca4295ab195f8e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "72c03b37178b455a98b1871ff01cccab": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "28cafe63fdec49a6be14040995a0eaf7": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_4774540b3a554d3298bcaa8d83063e5b", "IPY_MODEL_42ebec8f0e814a5e834e30c8ad3cd232", "IPY_MODEL_f1c090cf0bd2457cbbeb075bf5c6ae57", "IPY_MODEL_68e01a4f2c264d56b82bb63edbc16d88"], "layout": "IPY_MODEL_b12659d3c4ad4bff8525b5b294440007"}}, "4774540b3a554d3298bcaa8d83063e5b": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_bf0c5a238ea84d71b6e73c152db2a798", "style": "IPY_MODEL_95bcc4796fbc45e1837bf7160fecca5e", "value": "<h4 id=\"Property-LabelCorrelation-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Property-Label Correlation - Test Dataset</b></h4>"}}, "bf0c5a238ea84d71b6e73c152db2a798": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "95bcc4796fbc45e1837bf7160fecca5e": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "42ebec8f0e814a5e834e30c8ad3cd232": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_49d5559d7c7240b58710c0893e6fa0ea", "style": "IPY_MODEL_c2c141f3ca9a4cd5abdc4a1a3c01ac2d", "value": "<p>Return the PPS (Predictive Power Score) of all properties in relation to the label. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_property_label_correlation.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "49d5559d7c7240b58710c0893e6fa0ea": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "c2c141f3ca9a4cd5abdc4a1a3c01ac2d": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "f1c090cf0bd2457cbbeb075bf5c6ae57": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_5c09f6232dec490faff2a92a632050ad", "style": "IPY_MODEL_823741558a11487cb6e88c2d5b723604", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_bf225_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_bf225_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_bf225_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_bf225_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_bf225_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_bf225_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_bf225_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_bf225_row0_col1\" class=\"data row0 col1\" >Properties' Predictive Power Score is less than 0.3</td>\n      <td id=\"T_bf225_row0_col2\" class=\"data row0 col2\" >Passed for 10 relevant columns</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "5c09f6232dec490faff2a92a632050ad": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "823741558a11487cb6e88c2d5b723604": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "68e01a4f2c264d56b82bb63edbc16d88": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_7e7ca57e6bdb43a0b266afd51167dd3e", "IPY_MODEL_9602610c4a3644f6bfda7fa6c1f97446", "IPY_MODEL_10d360631c0a4bb2b7321a4113a97e4e", "IPY_MODEL_135f7e490b17422990e9dd69154eb20a"], "layout": "IPY_MODEL_80a8ca974e0f43c5947b7cc9cbfae98a"}}, "7e7ca57e6bdb43a0b266afd51167dd3e": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_dade36ea822c4e03832624bd39bb66d9", "style": "IPY_MODEL_22775c7634ad4ac39fc22d5cec62c524", "value": "<h5><b>Additional Outputs</b></h5>"}}, "dade36ea822c4e03832624bd39bb66d9": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "22775c7634ad4ac39fc22d5cec62c524": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "9602610c4a3644f6bfda7fa6c1f97446": {"model_name": "FigureModel", "model_module": "jupyterlab-plotly", "model_module_version": "^5.17.0", "state": {"_config": {"plotlyServerURL": "https://plot.ly"}, "_data": [{"marker": {"color": "#69b3a2"}, "name": "Test", "text": ["<b>0.11</b>", "<b>0.06</b>", "<b>0.02</b>", "<b>0.01</b>", "<b>0.0</b>"], "textposition": "outside", "x": ["Sentiment", "Toxicity", "Text Length", "% Special Characters", "Average Word Length"], "y": {"dtype": "float64", "shape": [5]}, "type": "bar", "uid": "eccafaf6-4afc-4f79-b202-5db45da4275d"}], "_dom_classes": [], "_js2py_layoutDelta": {}, "_js2py_pointsCallback": {}, "_js2py_relayout": {}, "_js2py_restyle": {}, "_js2py_traceDeltas": {}, "_js2py_update": {}, "_layout": {"barmode": "group", "height": 500, "legend": {"x": 1.0, "y": 1.0}, "template": {"data": {"barpolar": [{"marker": {"line": {"color": "#E5ECF6", "width": 0.5}, "pattern": {"fillmode": "overlay", "size": 10, "solidity": 0.2}}, "type": "barpolar"}], "bar": [{"error_x": {"color": "#2a3f5f"}, "error_y": {"color": "#2a3f5f"}, "marker": {"line": {"color": "#E5ECF6", "width": 0.5}, "pattern": {"fillmode": "overlay", "size": 10, "solidity": 0.2}}, "type": "bar"}], "carpet": [{"aaxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "baxis": {"endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f"}, "type": "carpet"}], "choropleth": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "choropleth"}], "contourcarpet": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "contourcarpet"}], "contour": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "contour"}], "heatmapgl": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, 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[0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2dcontour"}], "histogram2d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "colorscale": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "histogram2d"}], "histogram": [{"marker": {"pattern": {"fillmode": "overlay", "size": 10, "solidity": 0.2}}, "type": "histogram"}], "mesh3d": [{"colorbar": {"outlinewidth": 0, "ticks": ""}, "type": "mesh3d"}], "parcoords": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "type": "parcoords"}], "pie": [{"automargin": true, "type": "pie"}], "scatter3d": [{"line": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "marker": {"colorbar": {"outlinewidth": 0, 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[0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "type": "surface"}], "table": [{"cells": {"fill": {"color": "#EBF0F8"}, "line": {"color": "white"}}, "header": {"fill": {"color": "#C8D4E3"}, "line": {"color": "white"}}, "type": "table"}]}, "layout": {"annotationdefaults": {"arrowcolor": "#2a3f5f", "arrowhead": 0, "arrowwidth": 1}, "autotypenumbers": "strict", "coloraxis": {"colorbar": {"outlinewidth": 0, "ticks": ""}}, "colorscale": {"diverging": [[0, "#8e0152"], [0.1, "#c51b7d"], [0.2, "#de77ae"], [0.3, "#f1b6da"], [0.4, "#fde0ef"], [0.5, "#f7f7f7"], [0.6, "#e6f5d0"], [0.7, "#b8e186"], [0.8, "#7fbc41"], [0.9, "#4d9221"], [1, "#276419"]], "sequential": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]], "sequentialminus": [[0.0, "#0d0887"], [0.1111111111111111, "#46039f"], [0.2222222222222222, "#7201a8"], [0.3333333333333333, "#9c179e"], [0.4444444444444444, "#bd3786"], [0.5555555555555556, "#d8576b"], [0.6666666666666666, "#ed7953"], [0.7777777777777778, "#fb9f3a"], [0.8888888888888888, "#fdca26"], [1.0, "#f0f921"]]}, "colorway": ["#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52"], "font": {"color": "#2a3f5f"}, "geo": {"bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white"}, "hoverlabel": {"align": "left"}, "hovermode": "closest", "mapbox": {"style": "light"}, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": {"angularaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "radialaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "scene": {"xaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "yaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}, "zaxis": {"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white"}}, "shapedefaults": {"line": {"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}, "title": {"text": "Predictive Power Score (PPS) - Can a property predict the label by itself?"}, "xaxis": {"range": [-3, 7], "title": {"text": "Property"}, "type": "category"}, "yaxis": {"range": [0, 1.05], "title": {"text": "Predictive Power Score (PPS)"}}}, "_py2js_addTraces": {}, "_py2js_animate": {}, "_py2js_deleteTraces": {}, "_py2js_moveTraces": {}, "_py2js_relayout": {}, "_py2js_removeLayoutProps": {}, "_py2js_removeTraceProps": {}, "_py2js_restyle": {}, "_py2js_update": {}, "_view_count": 0}, "buffers": [{"encoding": "base64", "path": ["_data", 0, "y", "buffer"], "data": "cCO+9h82uz8zwsi3SjqtP+T/qE6dcpM/HB/+mmZ8gj8AAAAAAAAAAA=="}]}, "10d360631c0a4bb2b7321a4113a97e4e": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_1661c996f28f4b79865fd4c2feec7e24", "style": "IPY_MODEL_ee0dd91513604bde849ed89ecbdea867", "value": "<div>The Predictive Power Score (PPS) is used to estimate the ability of a property to predict the label by itself (Read more about <a href=https://docs.deepchecks.com/stable/tabular/auto_checks/train_test_validation/plot_feature_label_correlation_change.html target=\"_blank\">Predictive Power Score</a>).A high PPS (close to 1) can mean there's a bias in the dataset, as a single property can predict the label successfully, meaning that the model may accidentally learn these properties instead of more accurate complex abstractions.</div>"}}, "1661c996f28f4b79865fd4c2feec7e24": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ee0dd91513604bde849ed89ecbdea867": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "135f7e490b17422990e9dd69154eb20a": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_6c43724129ca4b04b712d91980098ae1", "style": "IPY_MODEL_24cc39e67321467081f86033007561c0", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\" style=\"font-size: 14px;\">Go to top</a>"}}, "6c43724129ca4b04b712d91980098ae1": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "24cc39e67321467081f86033007561c0": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "80a8ca974e0f43c5947b7cc9cbfae98a": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "b12659d3c4ad4bff8525b5b294440007": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "77120188e2ac4d35aea1baf6de05d264": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_64366e18196f4abd913618411481939a", "IPY_MODEL_0d7dd10706214efba8c3f3767c7526eb", "IPY_MODEL_9b2c510bc8a246a584cd485778e69783", "IPY_MODEL_49cd6c499c3e48668b634799c9739352"], "layout": "IPY_MODEL_ccbe46610d444aa2b8134bae47d9e8a4"}}, "64366e18196f4abd913618411481939a": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d452ba94276f496099f5d7bacacca9ed", "style": "IPY_MODEL_35bdb9912e4b4351a06d56c5e2029f58", "value": "<h4 id=\"TextDuplicates-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Text Duplicates - Train Dataset</b></h4>"}}, "d452ba94276f496099f5d7bacacca9ed": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "35bdb9912e4b4351a06d56c5e2029f58": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "0d7dd10706214efba8c3f3767c7526eb": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_7aa18e2ade7c4c0fad23b4fdd557ee80", "style": "IPY_MODEL_5c26383a081f4cb1a53d85e2d06850d9", "value": "<p>Checks for duplicate samples in the dataset. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_text_duplicates.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "7aa18e2ade7c4c0fad23b4fdd557ee80": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5c26383a081f4cb1a53d85e2d06850d9": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "9b2c510bc8a246a584cd485778e69783": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d7ab976707844c5ba500fa85642d4a07", "style": "IPY_MODEL_c087fd440f164acd9a61c97e6f6ef6aa", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_ac332_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ac332_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ac332_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ac332_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ac332_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_ac332_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_ac332_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_ac332_row0_col1\" class=\"data row0 col1\" >Duplicate data ratio is less or equal to 5%</td>\n      <td id=\"T_ac332_row0_col2\" class=\"data row0 col2\" >Found 0.04% duplicate data</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "d7ab976707844c5ba500fa85642d4a07": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "c087fd440f164acd9a61c97e6f6ef6aa": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "49cd6c499c3e48668b634799c9739352": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_cc97e7f2794c49e2890a9c7f054e9ed7", "IPY_MODEL_25793855467f42d7948cc105ece25dc3", "IPY_MODEL_d6fd05ad0f4a48b687342f07f8c94f9c", "IPY_MODEL_594af0cd0ee54ac2a9f06bfb279989cf", "IPY_MODEL_b154ac7cf5bd4a84959279da3ba6b4c6"], "layout": "IPY_MODEL_051d938501fb45fd8797798daf92201b"}}, "cc97e7f2794c49e2890a9c7f054e9ed7": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_2d46bce5e2a44e408d0d1dbc7420f7de", "style": "IPY_MODEL_c2aaf5f91d4a4c2caf77f773f6db4ef1", "value": "<h5><b>Additional Outputs</b></h5>"}}, "2d46bce5e2a44e408d0d1dbc7420f7de": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "c2aaf5f91d4a4c2caf77f773f6db4ef1": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "25793855467f42d7948cc105ece25dc3": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_e881e9a02bd547fbbe59aea6dba149a2", "style": "IPY_MODEL_45f16983acba480ab1323318cbaa6325", "value": "<div>0.04% of data samples are duplicates.</div>"}}, "e881e9a02bd547fbbe59aea6dba149a2": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "45f16983acba480ab1323318cbaa6325": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "d6fd05ad0f4a48b687342f07f8c94f9c": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_783aeea0d3754d2caf3f8d6ad45fe705", "style": "IPY_MODEL_3c5629af745c495f9e10f9a9f9ff0b75", "value": "<div>Each row in the table shows an example of a text duplicate and the number of times it appears.</div>"}}, "783aeea0d3754d2caf3f8d6ad45fe705": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "3c5629af745c495f9e10f9a9f9ff0b75": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "594af0cd0ee54ac2a9f06bfb279989cf": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d5fc7487a18d44c99f011d4cb4e86c81", "style": "IPY_MODEL_f0043691262d41489ce63fad54184801", "value": "<style type=\"text/css\">\n#T_640b0_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_640b0_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_640b0_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_640b0_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_640b0_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_640b0_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Text</th>\n      <th class=\"col_heading level0 col1\" >Sample IDs</th>\n      <th class=\"col_heading level0 col2\" >Number of Samples</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_640b0_row0_col0\" class=\"data row0 col0\" >Blood is boiling</td>\n      <td id=\"T_640b0_row0_col1\" class=\"data row0 col1\" >427, 884</td>\n      <td id=\"T_640b0_row0_col2\" class=\"data row0 col2\" >2</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "d5fc7487a18d44c99f011d4cb4e86c81": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f0043691262d41489ce63fad54184801": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "b154ac7cf5bd4a84959279da3ba6b4c6": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_4b7a55290d384e808b1829a5daeebb3c", "style": "IPY_MODEL_e7fdb2edbd244bdc8789f77646fb7e46", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\" style=\"font-size: 14px;\">Go to top</a>"}}, "4b7a55290d384e808b1829a5daeebb3c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "e7fdb2edbd244bdc8789f77646fb7e46": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "051d938501fb45fd8797798daf92201b": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ccbe46610d444aa2b8134bae47d9e8a4": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f1ce7f0346914588841a28b86443a7f0": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_0ebd9ff9e9eb44cdb8f7b68e6bd1afc8", "IPY_MODEL_8de840b5bddc4cedbb6ec49191f439c7", "IPY_MODEL_3837d2b96780490c85b489479de27110", "IPY_MODEL_59e4973c01444bd7931b030f3ac2c705"], "layout": "IPY_MODEL_c3853217050e48abae49e61b6ab5b279"}}, "0ebd9ff9e9eb44cdb8f7b68e6bd1afc8": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_4e59ad366f76483498d582fd3c264f93", "style": "IPY_MODEL_48fdad7de6bc4a078fb33c0d39819dee", "value": "<h4 id=\"TextDuplicates-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Text Duplicates - Test Dataset</b></h4>"}}, "4e59ad366f76483498d582fd3c264f93": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "48fdad7de6bc4a078fb33c0d39819dee": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "8de840b5bddc4cedbb6ec49191f439c7": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_e6ce836bf3b347bf8cb69d565f4a064b", "style": "IPY_MODEL_d0a513a09b7841539a196d1a8e158dfa", "value": "<p>Checks for duplicate samples in the dataset. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_text_duplicates.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "e6ce836bf3b347bf8cb69d565f4a064b": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "d0a513a09b7841539a196d1a8e158dfa": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "3837d2b96780490c85b489479de27110": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_899d551d54d74b7689504ff413574515", "style": "IPY_MODEL_2dafd65c78364c7f8790946d58e99783", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_61a0a_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_61a0a_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_61a0a_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_61a0a_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_61a0a_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_61a0a_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_61a0a_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_61a0a_row0_col1\" class=\"data row0 col1\" >Duplicate data ratio is less or equal to 5%</td>\n      <td id=\"T_61a0a_row0_col2\" class=\"data row0 col2\" >Found 0.05% duplicate data</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "899d551d54d74b7689504ff413574515": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "2dafd65c78364c7f8790946d58e99783": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "59e4973c01444bd7931b030f3ac2c705": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_158068e0338f4639afe210f667987646", "IPY_MODEL_58a208c0f0ba49b4a101248c93e7dfcd", "IPY_MODEL_cff915d215a343fd86b49db49feaf74a", "IPY_MODEL_8ac4a7e7d675430f81d222f138c2d78e", "IPY_MODEL_bb14bb40bf7a495b97534db643d03030"], "layout": "IPY_MODEL_f3a4db114c314305a02c435ebdd6fe3a"}}, "158068e0338f4639afe210f667987646": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_de3e43fcc6dc4450b7c78484dd5ebe0c", "style": "IPY_MODEL_5a7fb0d5113b44ee8107c18da7b064aa", "value": "<h5><b>Additional Outputs</b></h5>"}}, "de3e43fcc6dc4450b7c78484dd5ebe0c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5a7fb0d5113b44ee8107c18da7b064aa": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "58a208c0f0ba49b4a101248c93e7dfcd": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_4b8d3d20648941eab9ae6d566f2a9f4c", "style": "IPY_MODEL_8ddcd2a5bcd248488dda626145e5d591", "value": "<div>0.05% of data samples are duplicates.</div>"}}, "4b8d3d20648941eab9ae6d566f2a9f4c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "8ddcd2a5bcd248488dda626145e5d591": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "cff915d215a343fd86b49db49feaf74a": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_1731abdb519548e0adf0c2dfe6b41878", "style": "IPY_MODEL_9b777bdc699f46558560c78f1597351f", "value": "<div>Each row in the table shows an example of a text duplicate and the number of times it appears.</div>"}}, "1731abdb519548e0adf0c2dfe6b41878": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "9b777bdc699f46558560c78f1597351f": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "8ac4a7e7d675430f81d222f138c2d78e": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_a49637f0aabe417f99f82495b56ffb59", "style": "IPY_MODEL_f44f5c1114884c1d98dfe08dfa4d15fc", "value": "<style type=\"text/css\">\n#T_a4d80_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a4d80_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a4d80_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a4d80_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a4d80_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_a4d80_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Text</th>\n      <th class=\"col_heading level0 col1\" >Sample IDs</th>\n      <th class=\"col_heading level0 col2\" >Number of Samples</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_a4d80_row0_col0\" class=\"data row0 col0\" >A good head and a good heart a...</td>\n      <td id=\"T_a4d80_row0_col1\" class=\"data row0 col1\" >726, 1774</td>\n      <td id=\"T_a4d80_row0_col2\" class=\"data row0 col2\" >2</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "a49637f0aabe417f99f82495b56ffb59": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f44f5c1114884c1d98dfe08dfa4d15fc": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "bb14bb40bf7a495b97534db643d03030": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_6765d2af309947e891b0f8bc64d1c322", "style": "IPY_MODEL_8bab40c87fa24b209071067930cae647", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\" style=\"font-size: 14px;\">Go to top</a>"}}, "6765d2af309947e891b0f8bc64d1c322": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "8bab40c87fa24b209071067930cae647": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "f3a4db114c314305a02c435ebdd6fe3a": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "c3853217050e48abae49e61b6ab5b279": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "b94803cdd5b945868805041fac75f269": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_a289e8bada464c76af2876748c1e1a8e", "IPY_MODEL_5c61677ddab6436a9147cf370f3c2dcd", "IPY_MODEL_9ee573f48f0542b998e5eb954b360ee7", "IPY_MODEL_a5bb59f32f2a4b49bf7c1f61bed92281"], "layout": "IPY_MODEL_facd2c4dff8549f49b9ced6513ae8feb"}}, "a289e8bada464c76af2876748c1e1a8e": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_c9100a72b7a84a31a2da66320903d80b", "style": "IPY_MODEL_f6d7726f5800415ba6fda3e95b56c76a", "value": "<h4 id=\"SpecialCharacters-TrainDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Special Characters - Train Dataset</b></h4>"}}, "c9100a72b7a84a31a2da66320903d80b": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f6d7726f5800415ba6fda3e95b56c76a": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "5c61677ddab6436a9147cf370f3c2dcd": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_1e9bb1b9d0b14129b7dc7d02a1a47580", "style": "IPY_MODEL_21396ea9f9a14b169a4d520e6a4ecdd1", "value": "<p>Find samples that contain special characters and also the most common special characters in the dataset. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_special_characters.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "1e9bb1b9d0b14129b7dc7d02a1a47580": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "21396ea9f9a14b169a4d520e6a4ecdd1": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "9ee573f48f0542b998e5eb954b360ee7": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_f56b9932d23440e493fd90557b0e7c13", "style": "IPY_MODEL_fea413ccc3ef437586dc4f526698c88a", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_d9069_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_d9069_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_d9069_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_d9069_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_d9069_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_d9069_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_d9069_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_d9069_row0_col1\" class=\"data row0 col1\" >Ratio of samples containing more than 20% special characters is below 5%</td>\n      <td id=\"T_d9069_row0_col2\" class=\"data row0 col2\" >Found 1 samples with special char ratio above threshold</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "f56b9932d23440e493fd90557b0e7c13": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "fea413ccc3ef437586dc4f526698c88a": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "a5bb59f32f2a4b49bf7c1f61bed92281": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_fa514a4140aa4757b974ed7c7b26a4bd", "IPY_MODEL_4839a69d31294e1995e5feb4fcefb33d", "IPY_MODEL_cb477d558ddf412393c118c30140fa50", "IPY_MODEL_5c4a0367deba4732a9af12cd21aaeea7", "IPY_MODEL_84f5a69b4fd54461af0de0cd25493fdb"], "layout": "IPY_MODEL_856f2cdf402e4db78245d3148dae0ea8"}}, "fa514a4140aa4757b974ed7c7b26a4bd": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_29cf27e39c0e43429b79a4f49ac44b68", "style": "IPY_MODEL_99cf9b3402fa4035bd1c6927158110e3", "value": "<h5><b>Additional Outputs</b></h5>"}}, "29cf27e39c0e43429b79a4f49ac44b68": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "99cf9b3402fa4035bd1c6927158110e3": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "4839a69d31294e1995e5feb4fcefb33d": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_438cea1fce4b4c5496901b47de0c163b", "style": "IPY_MODEL_451969e360e145f58d60f20829c97fb0", "value": "<div><b>18.54%</b> of samples contain special characters</div>"}}, "438cea1fce4b4c5496901b47de0c163b": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "451969e360e145f58d60f20829c97fb0": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "cb477d558ddf412393c118c30140fa50": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_090e91297dbf4d47b26e26f32d6c9b15", "style": "IPY_MODEL_631bb056d8af48c98eadcb5e93ecf9ec", "value": "<div>List of ignored special characters: ['|', '*', '&', '\\\\', ' ', '_', '(', '\"', '[', '$', '^', \"'\", '`', '!', '@', '?', '/', ':', '<', '~', '>', '+', '}', '=', ')', '#', '.', ']', '{', '-', ';', ',', '%']</div>"}}, "090e91297dbf4d47b26e26f32d6c9b15": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "631bb056d8af48c98eadcb5e93ecf9ec": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "5c4a0367deba4732a9af12cd21aaeea7": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_4ed9f1fc981749d292e3758c19a431e7", "style": "IPY_MODEL_89891ff236be41ee9e1bba1f8697a7c7", "value": "<style type=\"text/css\">\n#T_6bcc5_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6bcc5_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6bcc5_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6bcc5_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6bcc5_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_6bcc5_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Sample ID</th>\n      <th class=\"col_heading level0 col1\" >% of Special Characters</th>\n      <th class=\"col_heading level0 col2\" >Special Characters</th>\n      <th class=\"col_heading level0 col3\" >Text</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_6bcc5_row0_col0\" class=\"data row0 col0\" >2585</td>\n      <td id=\"T_6bcc5_row0_col1\" class=\"data row0 col1\" >0.24</td>\n      <td id=\"T_6bcc5_row0_col2\" class=\"data row0 col2\" >['\ud83d\ude02', '\ud83c\udffd', '\u2600', '\ufe0f', '\ud83c\udf25']</td>\n      <td id=\"T_6bcc5_row0_col3\" class=\"data row0 col3\" >@user This is \u2600\ufe0fthis is clouded sky \ud83c\udf25\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\udc4d\ud83c\udffd\ud83d\ude01\ud83d\udc4f\ud83c\udffd</td>\n    </tr>\n    <tr>\n      <td id=\"T_6bcc5_row1_col0\" class=\"data row1 col0\" >1980</td>\n      <td id=\"T_6bcc5_row1_col1\" class=\"data row1 col1\" >0.18</td>\n      <td id=\"T_6bcc5_row1_col2\" class=\"data row1 col2\" >['\ud83d\ude0f', '\ud83d\ude12', '\ud83d\ude20', '\ud83d\ude21', '\ud83d\ude24']</td>\n      <td id=\"T_6bcc5_row1_col3\" class=\"data row1 col3\" >She doesn't know how to smile! So be it! #pissed \ud83d\ude0f\ud83d\ude12\ud83d\ude20\ud83d\ude21\ud83d\ude24\ud83d\udc40\ud83d\udc44\ud83d\udc4a\ud83d\udc4e\ud83d\ude4d\ud83d\udc94</td>\n    </tr>\n    <tr>\n      <td id=\"T_6bcc5_row2_col0\" class=\"data row2 col0\" >439</td>\n      <td id=\"T_6bcc5_row2_col1\" class=\"data row2 col1\" >0.18</td>\n      <td id=\"T_6bcc5_row2_col2\" class=\"data row2 col2\" >['\ud83d\ude2d', '\ud83d\ude02']</td>\n      <td id=\"T_6bcc5_row2_col3\" class=\"data row2 col3\" >@user @user \ud83d\ude02\ud83d\ude02\ud83d\ude2d\ud83d\ude2d\ud83d\ude2d resentment</td>\n    </tr>\n    <tr>\n      <td id=\"T_6bcc5_row3_col0\" class=\"data row3 col0\" >616</td>\n      <td id=\"T_6bcc5_row3_col1\" class=\"data row3 col1\" >0.15</td>\n      <td id=\"T_6bcc5_row3_col2\" class=\"data row3 col2\" >['\ud83d\ude42']</td>\n      <td id=\"T_6bcc5_row3_col3\" class=\"data row3 col3\" >No sober weekend \ud83d\ude42\ud83d\ude42\ud83d\ude42</td>\n    </tr>\n    <tr>\n      <td id=\"T_6bcc5_row4_col0\" class=\"data row4 col0\" >2203</td>\n      <td id=\"T_6bcc5_row4_col1\" class=\"data row4 col1\" >0.14</td>\n      <td id=\"T_6bcc5_row4_col2\" class=\"data row4 col2\" >['\ud83d\ude04', '\u2614', '\ufe0f']</td>\n      <td id=\"T_6bcc5_row4_col3\" class=\"data row4 col3\" >@user But smiling \ud83d\ude04\u2614\ufe0f</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "4ed9f1fc981749d292e3758c19a431e7": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "89891ff236be41ee9e1bba1f8697a7c7": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "84f5a69b4fd54461af0de0cd25493fdb": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_4bd6b05260024626a111f1e7bbaadae7", "style": "IPY_MODEL_ce6438ccadc64045a2b7ed21b1ab8a10", "value": "<br><a href=\"#summary_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\" style=\"font-size: 14px;\">Go to top</a>"}}, "4bd6b05260024626a111f1e7bbaadae7": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ce6438ccadc64045a2b7ed21b1ab8a10": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "856f2cdf402e4db78245d3148dae0ea8": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "facd2c4dff8549f49b9ced6513ae8feb": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "8359d0ce81754324a857b8f6e31b9ad8": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_4021440f5aaf4a8faa775fea6349bb0d", "IPY_MODEL_eac8c032f1ad4e34a81998f2e2c10226", "IPY_MODEL_4942d981ba49444f9b1d6f83d16718f9", "IPY_MODEL_8ad4269268c94c519bec72ce24db1556"], "layout": "IPY_MODEL_26473cef10c04feb8eee9f52c255d97b"}}, "4021440f5aaf4a8faa775fea6349bb0d": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_140a48508082481d995e4b2063c2464c", "style": "IPY_MODEL_05d7c0d57693459fade23c7557010fec", "value": "<h4 id=\"SpecialCharacters-TestDataset_LVSNUJZA7TZ0YNCXLL4ZKLOOK-section-WKTAK\"><b>Special Characters - Test Dataset</b></h4>"}}, "140a48508082481d995e4b2063c2464c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "05d7c0d57693459fade23c7557010fec": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "eac8c032f1ad4e34a81998f2e2c10226": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_b3dfd6e42cc34fcba8e1a5e1209b35cb", "style": "IPY_MODEL_6d3816a6ef944d28bfe8a9e1d0bd5c56", "value": "<p>Find samples that contain special characters and also the most common special characters in the dataset. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_special_characters.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "b3dfd6e42cc34fcba8e1a5e1209b35cb": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "6d3816a6ef944d28bfe8a9e1d0bd5c56": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "4942d981ba49444f9b1d6f83d16718f9": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_0e421301eba045348597a002e29174e8", "style": "IPY_MODEL_ed7db300e4d743aa94db4f1a618c101d", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_1202a_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_1202a_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_1202a_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_1202a_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_1202a_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_1202a_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_1202a_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_1202a_row0_col1\" class=\"data row0 col1\" >Ratio of samples containing more than 20% special characters is below 5%</td>\n      <td id=\"T_1202a_row0_col2\" class=\"data row0 col2\" >Found 3 samples with special char ratio above threshold</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "0e421301eba045348597a002e29174e8": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ed7db300e4d743aa94db4f1a618c101d": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "8ad4269268c94c519bec72ce24db1556": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_634b6c617dfa4f738925dc74f34cd18e", "IPY_MODEL_91950812e67740ef8aab7cb0f6313856", "IPY_MODEL_75e710a9975e4a65977291c1b767005a", "IPY_MODEL_f819939179c44987b8fc86b95a1eefeb", "IPY_MODEL_872f6cfb700142cbaf648ead8794a5ca"], "layout": "IPY_MODEL_a500dddbda324bb8a925e95c1fb4bfba"}}, "634b6c617dfa4f738925dc74f34cd18e": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d3cf5268bea54492995f0ea3acb72323", "style": "IPY_MODEL_03201b0ffc1a4d2e9c4c440ef373020e", "value": "<h5><b>Additional Outputs</b></h5>"}}, "d3cf5268bea54492995f0ea3acb72323": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "03201b0ffc1a4d2e9c4c440ef373020e": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "91950812e67740ef8aab7cb0f6313856": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_ab01896362d44d1fad5c6b34815fc532", "style": "IPY_MODEL_e5d67ec02fad4ce9bc97f394ab36b7eb", "value": "<div><b>16.58%</b> of samples contain special characters</div>"}}, "ab01896362d44d1fad5c6b34815fc532": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "e5d67ec02fad4ce9bc97f394ab36b7eb": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "75e710a9975e4a65977291c1b767005a": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_ce61a330e6804129ba042e77922b8e3a", "style": "IPY_MODEL_6cb0c18dc52c4031a7df37d0b4dddd90", "value": "<div>List of ignored special characters: ['|', '*', '&', '\\\\', ' ', '_', '(', '\"', '[', '$', '^', \"'\", '`', '!', '@', '?', '/', ':', '<', '~', '>', '+', '}', '=', ')', '#', '.', ']', '{', '-', ';', ',', '%']</div>"}}, "ce61a330e6804129ba042e77922b8e3a": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "6cb0c18dc52c4031a7df37d0b4dddd90": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "f819939179c44987b8fc86b95a1eefeb": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d27ebb492cc84c4496f634b81b8964c3", "style": "IPY_MODEL_6163a3f4dd7d4d1bbd07f44f2670fc92", "value": "<style type=\"text/css\">\n#T_a2a9a_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a2a9a_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a2a9a_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a2a9a_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a2a9a_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_a2a9a_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Sample ID</th>\n      <th class=\"col_heading level0 col1\" >% of Special Characters</th>\n      <th class=\"col_heading level0 col2\" >Special Characters</th>\n      <th class=\"col_heading level0 col3\" >Text</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_a2a9a_row0_col0\" class=\"data row0 col0\" >420</td>\n      <td id=\"T_a2a9a_row0_col1\" class=\"data row0 col1\" >0.52</td>\n      <td id=\"T_a2a9a_row0_col2\" class=\"data row0 col2\" >['\u2728']</td>\n      <td id=\"T_a2a9a_row0_col3\" class=\"data row0 col3\" >Trying to think positive, and not let this situation discourage me \u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728</td>\n    </tr>\n    <tr>\n      <td id=\"T_a2a9a_row1_col0\" class=\"data row1 col0\" >127</td>\n      <td id=\"T_a2a9a_row1_col1\" class=\"data row1 col1\" >0.24</td>\n      <td id=\"T_a2a9a_row1_col2\" class=\"data row1 col2\" >['\ufe0f', '\u2639', '\ud83d\udc98']</td>\n      <td id=\"T_a2a9a_row1_col3\" class=\"data row1 col3\" >@user awe man, when are you free then? \u2639\ufe0f\ufe0f\u2639\ufe0f\ufe0f\u2639\ufe0f\ufe0f\ud83d\udc98\ud83d\udc98\ud83d\udc98</td>\n    </tr>\n    <tr>\n      <td id=\"T_a2a9a_row2_col0\" class=\"data row2 col0\" >1649</td>\n      <td id=\"T_a2a9a_row2_col1\" class=\"data row2 col1\" >0.20</td>\n      <td id=\"T_a2a9a_row2_col2\" class=\"data row2 col2\" >['\ud83e\udd26', '\ud83c\udffb', '\\u200d', '\u2640', '\ufe0f']</td>\n      <td id=\"T_a2a9a_row2_col3\" class=\"data row2 col3\" >Tuesday night and the wine is coming out. Just got home from work if that explains it. \ud83e\udd26\ud83c\udffb\u200d\u2640\ufe0f\ud83e\udd26\ud83c\udffb\u200d\u2640\ufe0f\ud83e\udd26\ud83c\udffb\u200d</td>\n    </tr>\n    <tr>\n      <td id=\"T_a2a9a_row3_col0\" class=\"data row3 col0\" >789</td>\n      <td id=\"T_a2a9a_row3_col1\" class=\"data row3 col1\" >0.17</td>\n      <td id=\"T_a2a9a_row3_col2\" class=\"data row3 col2\" >['\u256f', '\u00b0', '\u253b', '\u25a1', '\uff09']</td>\n      <td id=\"T_a2a9a_row3_col3\" class=\"data row3 col3\" >He's seriously so frustrating sometimes! (\u256f\u00b0\u25a1\u00b0\uff09\u256f\ufe35 \u253b\u2501\u253b #ugh</td>\n    </tr>\n    <tr>\n      <td id=\"T_a2a9a_row4_col0\" class=\"data row4 col0\" >624</td>\n      <td id=\"T_a2a9a_row4_col1\" class=\"data row4 col1\" >0.17</td>\n      <td id=\"T_a2a9a_row4_col2\" class=\"data row4 col2\" >['\ud83d\ude0f', '\ud83d\ude02', '\ud83d\ude2d']</td>\n      <td id=\"T_a2a9a_row4_col3\" class=\"data row4 col3\" >Forever raging \ud83d\ude0f\ud83d\ude02\ud83d\ude2d</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "d27ebb492cc84c4496f634b81b8964c3": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "6163a3f4dd7d4d1bbd07f44f2670fc92": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "872f6cfb700142cbaf648ead8794a5ca": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": 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.. GENERATED FROM PYTHON SOURCE LINES 136-177

Integrity #1: Unknown Tokens
~~~~~~~~~~~~~~~~~~~~~~~~~~~~

First up (in the “Didn't Pass” tab) we see that the Unknown Tokens check
has returned a problem.

Looking at the result, we can see that it assumed (by default) that
we’re going to use the bert-base-uncased tokenizer for our NLP model,
and that if that’s the case there are many words in the dataset that
contain characters (such as emojis, or Korean characters) that are
unrecognized by the tokenizer. This is an important insight, as bert
tokenizers are very common. You can configure the tokenizer used by
this check by passing the tokenizer to the check’s constructor, and can
also configure the threshold for the percent of unknown tokens allowed by
modifying the checks condition.

Integrity #2: Text Outliers
~~~~~~~~~~~~~~~~~~~~~~~~~~~

In the “Didn't Pass” tab, by looking at the Text Outlier check result we can
derive several insights by hovering over the different values and inspecting the outlier texts:

1. hashtags (‘#…’) are usually several words
   written together without spaces - we might consider splitting them
   before feeding the tweet to a model
2. In some instances users
   deliberately misspell words, for example ‘!’ instead of the letter ‘l’
   or ‘okayyyyyyyyyy’.
3. The majority of the data is in English but not
   all. If we want a classifier that is multilingual we should collect
   more data, otherwise we may consider dropping tweets in other languages
   from our dataset before training our model.

Integrity #3: Property-Label Correlation (Shortcut Learning)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

In the "Passed" tab we can see tha Property-Label Correlation check, that verifies the data does not contain
any shortcuts the model can fixate on during the learning process. In
our case we can see no indication that this problem exists in our
dataset. For more information about shortcut learning see:
https://towardsdatascience.com/shortcut-learning-how-and-why-models-cheat-1b37575a159

.. GENERATED FROM PYTHON SOURCE LINES 179-186

Train Test Validation
---------------------

The next suite, the :mod:`train_test_validation <deepchecks.nlp.suites>` suite serves to validate our split and
compare the two dataset. These splits can be either you training and val / test sets, in which case you'd want to run
this suite after the split was made but before training, or for example your training and inference data, in which
case the suite is useful for validating that the inference data is similar enough to the training data.

.. GENERATED FROM PYTHON SOURCE LINES 186-191

.. code-block:: default


    from deepchecks.nlp.suites import train_test_validation

    train_test_validation().run(train, test)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    Train Test Validation Suite:
    |     | 0/4 [Time: 00:00]
    Train Test Validation Suite:
    |█▎   | 1/4 [Time: 00:00, Check=Property Drift]
    Train Test Validation Suite:
    |█████| 4/4 [Time: 00:02, Check=Train Test Samples Mix]
                                                                                    

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"state": {"_dom_classes": [], "layout": "IPY_MODEL_5147ebb7cebe4ddcb0773648c122baf9", "style": "IPY_MODEL_55e6acf5fd9045818519eff0e82ceaae", "value": "<style type=\"text/css\">\n#T_589d0_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_589d0_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_589d0_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_589d0_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_589d0_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_589d0_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Check</th>\n      <th class=\"col_heading level0 col2\" >Condition</th>\n      <th class=\"col_heading level0 col3\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_589d0_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_589d0_row0_col1\" class=\"data row0 col1\" ><a href=\"#PropertyDrift_PUXQPHR62GDSWM31YIHAIR4CO-section-XA11D\">Property Drift</a></td>\n      <td id=\"T_589d0_row0_col2\" class=\"data row0 col2\" >categorical drift score < 0.2 and numerical drift score < 0.2</td>\n      <td id=\"T_589d0_row0_col3\" class=\"data row0 col3\" >Passed for 10 columns out of 10 columns.\nFound column \"Language\" has the highest categorical drift score: 9.17E-3\nFound column \"Formality\" has the highest numerical drift score: 0.08</td>\n    </tr>\n    <tr>\n      <td id=\"T_589d0_row1_col0\" class=\"data row1 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_589d0_row1_col1\" class=\"data row1 col1\" >Train Test Samples Mix</td>\n      <td id=\"T_589d0_row1_col2\" class=\"data row1 col2\" >Percentage of test data samples that appear in train data is less or equal to 5%</td>\n      <td id=\"T_589d0_row1_col3\" class=\"data row1 col3\" >No samples mix found</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "5147ebb7cebe4ddcb0773648c122baf9": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "55e6acf5fd9045818519eff0e82ceaae": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "1308dfb1adbf46abaf20136c6a57039b": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_033b71bef331472f81a8b7371d28e479", "style": "IPY_MODEL_b9eda5acc8c945d4bc5e05e39ceba3d8", "value": "<hr style=\"background-color: #eee;border: 0 none;color: #eee;height: 4px;\">"}}, "033b71bef331472f81a8b7371d28e479": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "b9eda5acc8c945d4bc5e05e39ceba3d8": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "54b5c3e5856c4a3aaefe2daae86c3cdf": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_ef99964cbc2a4f66bd9059737480cad1", "IPY_MODEL_36ae6e1238444faba3d1ab357efcf980", "IPY_MODEL_5765f98256cd4772b49600fd6b8a2387", "IPY_MODEL_e62aefabad024a60aaf8766a2595ede0"], "layout": "IPY_MODEL_1e00477cba6342089cc9648c3d7b0817"}}, "ef99964cbc2a4f66bd9059737480cad1": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_a01832171fa64771b5a443d5a4b942f9", "style": "IPY_MODEL_5008c46a5b6e414aa28dd6157ed2a313", "value": "<h4 id=\"PropertyDrift_PUXQPHR62GDSWM31YIHAIR4CO-section-XA11D\"><b>Property Drift</b></h4>"}}, "a01832171fa64771b5a443d5a4b942f9": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5008c46a5b6e414aa28dd6157ed2a313": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "36ae6e1238444faba3d1ab357efcf980": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d0a67f57e4664b039064d6a8917293e6", "style": "IPY_MODEL_cb1dc7861f6d4b6a84c726d0e6d93c21", "value": "<p>    Calculate drift between train dataset and test dataset per feature, using statistical measures. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/train_test_validation/plot_property_drift.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "d0a67f57e4664b039064d6a8917293e6": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "cb1dc7861f6d4b6a84c726d0e6d93c21": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "5765f98256cd4772b49600fd6b8a2387": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_71f90dc76679442581e3acb7502e3579", "style": "IPY_MODEL_2b43f4e38c3249979d18fb240cad2c73", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_29217_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_29217_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_29217_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_29217_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_29217_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_29217_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_29217_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_29217_row0_col1\" class=\"data row0 col1\" >categorical drift score < 0.2 and numerical drift score < 0.2</td>\n      <td id=\"T_29217_row0_col2\" class=\"data row0 col2\" >Passed for 10 columns out of 10 columns.\nFound column \"Language\" has the highest categorical drift score: 9.17E-3\nFound column \"Formality\" has the highest numerical drift score: 0.08</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "71f90dc76679442581e3acb7502e3579": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "2b43f4e38c3249979d18fb240cad2c73": {"model_name": 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"layout": "IPY_MODEL_dc5f298e2fea4db98686af16996e42b6", "style": "IPY_MODEL_f76b20054fce4a77b10aedc1df47b22f", "value": "<h5><b>Additional Outputs</b></h5>"}}, "dc5f298e2fea4db98686af16996e42b6": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f76b20054fce4a77b10aedc1df47b22f": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "ef2b959dd00b44ebba2a8c4918b5125d": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_161e92b04e4e48e08567ac5860d20536", "style": "IPY_MODEL_a42275afa0714a5daffe2e4590b7bcab", "value": "<div>\n<span>\nThe Drift score is a measure for the difference between two distributions, in this check - the test\nand train distributions.<br> The check shows the drift score and distributions for the properties,\nsorted by drift score and showing only the top 5 properties,\naccording to drift score.\n</span>\n</div>"}}, "161e92b04e4e48e08567ac5860d20536": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "a42275afa0714a5daffe2e4590b7bcab": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "a2b5145b07d44ef6b39b0118c3dd2eb1": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_247ae94861294dacb8a5cc008e51b99e", "style": "IPY_MODEL_2e8f1b1255894687a58d870a8dd506e0", "value": "<div>For discrete distribution plots, showing the top 10 categories with largest difference between train and test.</div>"}}, "247ae94861294dacb8a5cc008e51b99e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, 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"jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "_titles": {"0": "Didn't Run"}, "children": ["IPY_MODEL_665e200b66274442ad00359acec2f1be"], "layout": "IPY_MODEL_63a3c9b5f8b849e5af8a2d47d13e4110", "selected_index": null}}, "665e200b66274442ad00359acec2f1be": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_0842439b9e324b49a7e48ea0beeb1f0f", "style": "IPY_MODEL_f88588598a34443ab61512dee1df7a80", "value": "<style type=\"text/css\">\n#T_cc601_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_cc601_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_cc601_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_cc601_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_cc601_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_cc601_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Check</th>\n      <th class=\"col_heading level0 col1\" >Reason</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_cc601_row0_col0\" class=\"data row0 col0\" >Text Embeddings Drift</td>\n      <td id=\"T_cc601_row0_col1\" class=\"data row0 col1\" >Functionality requires embeddings, but the the TextData object had none. To use this functionality, use the set_embeddings method to set your own embeddings with a numpy.array or use TextData.calculate_builtin_embeddings to add the default deepchecks embeddings.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "0842439b9e324b49a7e48ea0beeb1f0f": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f88588598a34443ab61512dee1df7a80": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "63a3c9b5f8b849e5af8a2d47d13e4110": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "e773781c83114e7aa9814e0136e63d8f": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "3fa03fd6a0284dc0b84b632d03fa8308": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "427cee71a6d84df88ec3a26ab77035b9": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}}}
    </script>
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    {"version_major": 2, "version_minor": 0, "model_id": "c337f78d1de84d588256c4c939ce3435"}
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    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 192-199

Label Drift
~~~~~~~~~~~

This check, appearing in the "Didn't Pass" tab, lets us see that we have some significant change in the
distribution of the label - the label “optimism” is suddenly way more common in the test dataset, while other
labels declined. This happened because we split on time, so the topics covered by the tweets in the test dataset
may correspond to specific trends or events that happened later in time. Let’s investigate!

.. GENERATED FROM PYTHON SOURCE LINES 201-206

Model Evaluation
----------------

The suite below, the :mod:`model_evaluation <deepchecks.nlp.suites>` suite, is designed to be run after a model has
been trained and requires model predictions which can be supplied via the relevant arguments in the ``run`` function.

.. GENERATED FROM PYTHON SOURCE LINES 206-221

.. code-block:: default


    train_preds, test_preds = tweet_emotion.load_precalculated_predictions(
        pred_format='predictions', as_train_test=True)
    train_probas, test_probas = tweet_emotion.load_precalculated_predictions(
        pred_format='probabilities', as_train_test=True)

    from deepchecks.nlp.suites import model_evaluation

    result = model_evaluation().run(train, test,
                                    train_predictions=train_preds,
                                    test_predictions=test_preds,
                                    train_probabilities=train_probas,
                                    test_probabilities=test_probas)
    result.show()





.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    Model Evaluation Suite:
    |     | 0/4 [Time: 00:00]
    Model Evaluation Suite:
    |██▌  | 2/4 [Time: 00:00, Check=Train Test Performance]
    Model Evaluation Suite:
    |███▊ | 3/4 [Time: 00:20, Check=Property Segments Performance]
    Model Evaluation Suite:
    |█████| 4/4 [Time: 00:23, Check=Metadata Segments Performance]
                                                                                      

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[{"encoding": "base64", "path": ["_data", 0, "y", "buffer"], "data": "COtUt/0a7j9IgzRIgzTuP/iQy4qBEu4/S/cGlIkr7T8="}, {"encoding": "base64", "path": ["_data", 1, "y", "buffer"], "data": "kNpIGAhY7T+mvlrqq6XuPzG/q8VNmO8//fVcxbLx7T8="}, {"encoding": "base64", "path": ["_data", 2, "y", "buffer"], "data": "fNqv91bo7j/VOblmksbtP9QIyz2NsOw/5DB4B11v7D8="}, {"encoding": "base64", "path": ["_data", 3, "y", "buffer"], "data": "XZBxQcYF6T9Wp2J1KlbnPyt6mUZtjtg/tKuMECBe5j8="}, {"encoding": "base64", "path": ["_data", 4, "y", "buffer"], "data": "MiuNHlFB5j9mEZ9AKjnnP/rN1qHfbO0/pQ45fZjW5T8="}, {"encoding": "base64", "path": ["_data", 5, "y", "buffer"], "data": "Axg193GT7D9zc3Nzc3PnPwgffPDBB88/3CDWpGPs5j8="}]}, "804bc67361d5479093d30a83e97cc632": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d7d963fa4e7a495ababe67b238dc6e4a", "style": "IPY_MODEL_c53ace6a6cf4474e8ec75a3c8768efce", "value": "<br><a href=\"#summary_PG8SBI4Q2Y9V86WZS3T60RJIW-section-1SWJC\" style=\"font-size: 14px;\">Go to top</a>"}}, "d7d963fa4e7a495ababe67b238dc6e4a": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "c53ace6a6cf4474e8ec75a3c8768efce": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "26bc87dad5b947c8bb71f7133a022d59": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "c1d92066194043dcbd8c32de777ffd93": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "253b9f1510494270b7f58c39c8aafbd9": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_c1649d7510e5453588bea41b8b05657c", "style": "IPY_MODEL_226be04d14334c93b3b697bed2def842", "value": "<hr style=\"background-color: #eee;border: 0 none;color: #eee;height: 4px;\">"}}, "c1649d7510e5453588bea41b8b05657c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "226be04d14334c93b3b697bed2def842": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "1cb5d52a58f44259bb0d2a8f505afd4d": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_f31849e416b94649b82e8755fc23caec", "IPY_MODEL_1c55e02cce2c4490bcf27f8ef77f3742", "IPY_MODEL_ccd042acae0f4665bf9c7e9c390d9a53", "IPY_MODEL_5fd67f5a7c9f4b7796777a2bf4751cb7"], "layout": "IPY_MODEL_4f7fddd3f47f4a31b9fa21eed401f3b3"}}, "f31849e416b94649b82e8755fc23caec": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_e60f6037a305488b8d88d40aaa1d3685", "style": "IPY_MODEL_ad3345370d344bdba7539203c4d235c3", "value": "<h4 id=\"PropertySegmentsPerformance-TestDataset_PG8SBI4Q2Y9V86WZS3T60RJIW-section-1SWJC\"><b>Property Segments Performance - Test Dataset</b></h4>"}}, "e60f6037a305488b8d88d40aaa1d3685": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ad3345370d344bdba7539203c4d235c3": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "1c55e02cce2c4490bcf27f8ef77f3742": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_d85f2fd0f7ea4f9fbfb83aa097f2b4ab", "style": "IPY_MODEL_02980044c2184e22840d6fa65239b7df", "value": "<p>Search for segments with low performance scores. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/model_evaluation/plot_weak_segments_performance.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "d85f2fd0f7ea4f9fbfb83aa097f2b4ab": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "02980044c2184e22840d6fa65239b7df": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "ccd042acae0f4665bf9c7e9c390d9a53": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_98ef21868e3a48d3ac84c5df16438564", "style": "IPY_MODEL_502835877b1f447b834cb4f6ed62a1df", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_2035b_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_2035b_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_2035b_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_2035b_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_2035b_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_2035b_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_2035b_row0_col0\" class=\"data row0 col0\" ><div style=\"color: orange;text-align: center;font-weight:bold\">!</div></td>\n      <td id=\"T_2035b_row0_col1\" class=\"data row0 col1\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_2035b_row0_col2\" class=\"data row0 col2\" >Found a segment with accuracy score of 0.525 in comparison to an average score of 0.708 in sampled data.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "98ef21868e3a48d3ac84c5df16438564": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "502835877b1f447b834cb4f6ed62a1df": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "5fd67f5a7c9f4b7796777a2bf4751cb7": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_653ec8cd8dc24b6f80578b58a076cc5c", "IPY_MODEL_3d2441e9a45d4c02b6b15aaff5eab3f5", "IPY_MODEL_c84f77f77f9a4e49b8f017ced0b80ce6", "IPY_MODEL_12cacf62673d493c82f4872b3c65106c"], "layout": "IPY_MODEL_c3a94d9dcdf04aef9c7379c8f734109e"}}, "653ec8cd8dc24b6f80578b58a076cc5c": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_c932d4b4398e4ad6a3ca5d8ebc064457", "style": "IPY_MODEL_013102e06a19453293e3c7e022d1cdfe", "value": "<h5><b>Additional Outputs</b></h5>"}}, "c932d4b4398e4ad6a3ca5d8ebc064457": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "013102e06a19453293e3c7e022d1cdfe": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "3d2441e9a45d4c02b6b15aaff5eab3f5": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_0e82b3a2ca0a423c809f9a45ee3b2c7d", "style": "IPY_MODEL_938c7d87350c4b51b5a43f10a7edde96", "value": "<div>Showcasing intersections of properties with weakest detected segments.<br> The full list of weak segments can be observed in the check result value. </div>"}}, "0e82b3a2ca0a423c809f9a45ee3b2c7d": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "938c7d87350c4b51b5a43f10a7edde96": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "c84f77f77f9a4e49b8f017ced0b80ce6": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_a92e2d38ddec49a6a7fc4e98cbde27c4", "IPY_MODEL_5f4e78730f244f379d6f6803bb77020b"], "layout": "IPY_MODEL_9e342aabd59c44bda80714212b7eb4c1"}}, "a92e2d38ddec49a6a7fc4e98cbde27c4": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_5c574558ea2f4dc79ad0aac96f0ed6ed", "style": "IPY_MODEL_882561e63bb84144901b820c7e780955", "value": 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{"color": "#2a3f5f"}}, "ternary": {"aaxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "baxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}, "bgcolor": "#E5ECF6", "caxis": {"gridcolor": "white", "linecolor": "white", "ticks": ""}}, "title": {"x": 0.05}, "xaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}, "title": {"text": "Accuracy Score (percent of data)"}, "xaxis": {"anchor": "y", "constrain": "domain", "domain": [0.0, 1.0], "scaleanchor": "y", "showgrid": false, "title": {"text": "Sentiment"}}, "yaxis": {"anchor": "x", "autorange": "reversed", "constrain": "domain", "domain": [0.0, 1.0], "showgrid": false, "title": {"text": "Fluency"}}}, "_py2js_addTraces": {}, "_py2js_animate": {}, "_py2js_deleteTraces": {}, "_py2js_moveTraces": {}, "_py2js_relayout": {}, "_py2js_removeLayoutProps": {}, "_py2js_removeTraceProps": {}, "_py2js_restyle": {}, "_py2js_update": {}, "_view_count": 0}}, "a845aff4ac7f4be69264ae03008277d4": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_50b6100c455342d0a206f0450956f9e3", "style": "IPY_MODEL_95bcee59a7034f1a9af0146ce2825951", "value": "<div>Check ran on 1978 data samples. Accuracy Score on the full data set is 0.71.</div>"}}, "50b6100c455342d0a206f0450956f9e3": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "95bcee59a7034f1a9af0146ce2825951": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "04581ab6a6e6488e80dccdc82c120639": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "05362687163247b893b909ed7095a80f": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "9e342aabd59c44bda80714212b7eb4c1": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "12cacf62673d493c82f4872b3c65106c": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_6c4d245786ac4b61a35944ab8882d6ad", "style": "IPY_MODEL_22ff39be0e694fd9a3aec27564069c5d", "value": "<br><a href=\"#summary_PG8SBI4Q2Y9V86WZS3T60RJIW-section-1SWJC\" style=\"font-size: 14px;\">Go to top</a>"}}, "6c4d245786ac4b61a35944ab8882d6ad": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "22ff39be0e694fd9a3aec27564069c5d": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "c3a94d9dcdf04aef9c7379c8f734109e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "4f7fddd3f47f4a31b9fa21eed401f3b3": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "22717f4a04ba46568fc2562a43687671": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_a4b4c9fb9b4b4d6188dd92e97b3908ce", "IPY_MODEL_a7f69e4d25be47cd8053b38df286cb62", "IPY_MODEL_a2268512755d43669c036216da459866", "IPY_MODEL_a08a560deef543f98e1d47fc39774be8"], "layout": "IPY_MODEL_9263378d8e514c8890edeaa703deb4b5"}}, "a4b4c9fb9b4b4d6188dd92e97b3908ce": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_6158519d02ca42f4a0e03bfa7f0d18d3", "style": "IPY_MODEL_4969a7f8c01d427f8076559efc5bff20", "value": "<h4 id=\"MetadataSegmentsPerformance-TestDataset_PG8SBI4Q2Y9V86WZS3T60RJIW-section-1SWJC\"><b>Metadata Segments Performance - Test Dataset</b></h4>"}}, "6158519d02ca42f4a0e03bfa7f0d18d3": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "4969a7f8c01d427f8076559efc5bff20": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "a7f69e4d25be47cd8053b38df286cb62": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_5204f6dd7ad6455694161074c63c8729", "style": "IPY_MODEL_7ee49bcc6dca494d8f637eef9cb71d0e", "value": "<p>Search for segments with low performance scores. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/model_evaluation/plot_weak_segments_performance.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "5204f6dd7ad6455694161074c63c8729": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "7ee49bcc6dca494d8f637eef9cb71d0e": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "a2268512755d43669c036216da459866": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_06ec2326b9664ba6b170d678e168e8e4", "style": "IPY_MODEL_a058382a9cb54f2099d72134c7935a21", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_a2def_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a2def_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a2def_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a2def_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_a2def_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_a2def_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_a2def_row0_col0\" class=\"data row0 col0\" ><div style=\"color: orange;text-align: center;font-weight:bold\">!</div></td>\n      <td id=\"T_a2def_row0_col1\" class=\"data row0 col1\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_a2def_row0_col2\" class=\"data row0 col2\" >Found a segment with accuracy score of 0.305 in comparison to an average score of 0.708 in sampled data.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "06ec2326b9664ba6b170d678e168e8e4": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "a058382a9cb54f2099d72134c7935a21": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "a08a560deef543f98e1d47fc39774be8": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_507391fba2694ad8a79183ae941b7336", "IPY_MODEL_3ce6533ad30640e58c4b5fb9bb8f20b0", "IPY_MODEL_362258dd7bd5467a91b6e2829041c20c", "IPY_MODEL_00179130e9e34847b4e1565f43dce2fc"], "layout": "IPY_MODEL_b9b8a19224674e56934ba6c558a0c3f4"}}, "507391fba2694ad8a79183ae941b7336": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_395d1a83209f4dcbadafe804988de9d0", "style": "IPY_MODEL_4c21b77906f14ed38a9f6b00ece4e48a", "value": "<h5><b>Additional Outputs</b></h5>"}}, "395d1a83209f4dcbadafe804988de9d0": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "4c21b77906f14ed38a9f6b00ece4e48a": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "3ce6533ad30640e58c4b5fb9bb8f20b0": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_7f900e2e6cb9441493bb780bdbce59a0", "style": "IPY_MODEL_0046d4864de442388bd148ca52c4dcb4", "value": "<div>Showcasing intersections of metadata with weakest detected segments.<br> The full list of weak segments can be observed in the check result value. </div>"}}, "7f900e2e6cb9441493bb780bdbce59a0": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "0046d4864de442388bd148ca52c4dcb4": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "362258dd7bd5467a91b6e2829041c20c": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": 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id=\"summary_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\"></span>"}}, "493345054a15495fb0aa7e8825049a8a": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "b7c5aa2e98004d3ab1e75e874f18f6fa": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "458b76a8d3a84dd68be5f4e94581999b": {"model_name": "AccordionModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "_titles": {"0": "Passed"}, "children": ["IPY_MODEL_3701742072cb4403b43875ceba05575f"], "layout": "IPY_MODEL_04c29a9da53c45638f8eeba2ec8b77f0", "selected_index": null}}, "3701742072cb4403b43875ceba05575f": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_6e035076554745c18c26fe033220f6eb", "IPY_MODEL_86f20c7e03a24744a2fc02091cfbe798", "IPY_MODEL_ca23464f2c5f4a7fbbe47d681d42f0e3", "IPY_MODEL_b125c14eee974ddbbbbd4a9ecdc1fafb", "IPY_MODEL_554c84ae705b44028fe46954d0c38550", "IPY_MODEL_b125c14eee974ddbbbbd4a9ecdc1fafb", "IPY_MODEL_5e28fdbb7bca455dbb0ebbbb20b34aec"], "layout": "IPY_MODEL_cccb4d746d1247d79972fb3170c02b2b"}}, "6e035076554745c18c26fe033220f6eb": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_0f58366993ea4333bf346175ce6c54e5", "style": "IPY_MODEL_1a37fe0e93ba4c45aebb611a928ced06", "value": "<style type=\"text/css\">\n#T_f0268_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_f0268_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_f0268_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_f0268_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_f0268_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_f0268_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Check</th>\n      <th class=\"col_heading level0 col2\" >Condition</th>\n      <th class=\"col_heading level0 col3\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_f0268_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_f0268_row0_col1\" class=\"data row0 col1\" ><a href=\"#PredictionDrift_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\">Prediction Drift</a></td>\n      <td id=\"T_f0268_row0_col2\" class=\"data row0 col2\" >Prediction drift score < 0.15</td>\n      <td id=\"T_f0268_row0_col3\" class=\"data row0 col3\" >Found model prediction Cramer's V drift score of 0.04</td>\n    </tr>\n    <tr>\n      <td id=\"T_f0268_row1_col0\" class=\"data row1 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_f0268_row1_col1\" class=\"data row1 col1\" ><a href=\"#PropertySegmentsPerformance-TrainDataset_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\">Property Segments Performance - Train Dataset</a></td>\n      <td id=\"T_f0268_row1_col2\" class=\"data row1 col2\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_f0268_row1_col3\" class=\"data row1 col3\" >WeakSegmentsPerformance was unable to train an error model to find weak segments.Try supplying additional properties.</td>\n    </tr>\n    <tr>\n      <td id=\"T_f0268_row2_col0\" class=\"data row2 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_f0268_row2_col1\" class=\"data row2 col1\" ><a href=\"#MetadataSegmentsPerformance-TrainDataset_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\">Metadata Segments Performance - Train Dataset</a></td>\n      <td id=\"T_f0268_row2_col2\" class=\"data row2 col2\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_f0268_row2_col3\" class=\"data row2 col3\" >WeakSegmentsPerformance was unable to train an error model to find weak segments.Try supplying additional metadata.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "0f58366993ea4333bf346175ce6c54e5": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "1a37fe0e93ba4c45aebb611a928ced06": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "86f20c7e03a24744a2fc02091cfbe798": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_97edd8f07ffb4e2a986a9856cd0971e4", "style": "IPY_MODEL_2abefebd8f3f43d1a38b05c5c9c38813", "value": "<hr style=\"background-color: #eee;border: 0 none;color: #eee;height: 4px;\">"}}, "97edd8f07ffb4e2a986a9856cd0971e4": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "2abefebd8f3f43d1a38b05c5c9c38813": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "ca23464f2c5f4a7fbbe47d681d42f0e3": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_4114a1d3cd0749d8b5734ac0e92b5023", "IPY_MODEL_6eb686c909634ca886502309ab66fc8d", "IPY_MODEL_54045f178e7748c6a58226634ddcc866", "IPY_MODEL_67e0c41b9f3d4a208c5646aab0742c6e"], "layout": "IPY_MODEL_7f5b1fda1767461083393496abf85e7e"}}, "4114a1d3cd0749d8b5734ac0e92b5023": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_ac518986088d488db8b346215c4b84b3", "style": "IPY_MODEL_ae2d184ed217419f9d3a521d21f3bc5c", "value": "<h4 id=\"PredictionDrift_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\"><b>Prediction Drift</b></h4>"}}, "ac518986088d488db8b346215c4b84b3": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ae2d184ed217419f9d3a521d21f3bc5c": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "6eb686c909634ca886502309ab66fc8d": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_14d51311275749f1903c9f0cb0efc833", "style": "IPY_MODEL_643d3b0a0377430ebe54758b20e60ee5", "value": "<p>    Calculate prediction drift between train dataset and test dataset, using statistical measures. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/model_evaluation/plot_prediction_drift.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "14d51311275749f1903c9f0cb0efc833": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "643d3b0a0377430ebe54758b20e60ee5": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "54045f178e7748c6a58226634ddcc866": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_8476a9b8adb54cf78ac4e8f995e64a39", "style": "IPY_MODEL_5b144e5ba5774bce85e1d783852fef67", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_e4fb3_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_e4fb3_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_e4fb3_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_e4fb3_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_e4fb3_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_e4fb3_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_e4fb3_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_e4fb3_row0_col1\" class=\"data row0 col1\" >Prediction drift score < 0.15</td>\n      <td id=\"T_e4fb3_row0_col2\" class=\"data row0 col2\" >Found model prediction Cramer's V drift score of 0.04</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "8476a9b8adb54cf78ac4e8f995e64a39": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5b144e5ba5774bce85e1d783852fef67": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "67e0c41b9f3d4a208c5646aab0742c6e": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_3ee093396ea7446b8b8948da7a1cc060", "IPY_MODEL_f8537b4644544559898a848cf8b0408c", "IPY_MODEL_20275f8e2195417295cb07da54c21f32", "IPY_MODEL_3752ac080d6e4fd2951bec621cbfcd33", "IPY_MODEL_9d5bdcfe76c841eda4c55acfced12308"], "layout": "IPY_MODEL_9a86c404b68145e6b6c3edfa21026655"}}, "3ee093396ea7446b8b8948da7a1cc060": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_277c730626304f1bbe5621fc95268db3", "style": "IPY_MODEL_aa2983a643f74c5384ec80abb9919d5e", "value": "<h5><b>Additional Outputs</b></h5>"}}, "277c730626304f1bbe5621fc95268db3": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "aa2983a643f74c5384ec80abb9919d5e": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "f8537b4644544559898a848cf8b0408c": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_2cb5cad9c77544cca58159ec6938cbdc", "style": "IPY_MODEL_b4a188ac31c749cfbd8395bf42b2f6c3", "value": "<div><span>\n                The Drift score is a measure for the difference between two distributions, in this check - the test\n                and train distributions.<br> The check shows the drift score and distributions for the predicted\n                classes.\n            </span></div>"}}, "2cb5cad9c77544cca58159ec6938cbdc": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "b4a188ac31c749cfbd8395bf42b2f6c3": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "20275f8e2195417295cb07da54c21f32": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_2a2f542f08f04ac988739603332cb785", "style": "IPY_MODEL_de04cbe4e31c4254aadb89bee179ef3e", "value": "<div>For discrete distribution plots, showing the top 10 categories with largest difference between train and test.</div>"}}, "2a2f542f08f04ac988739603332cb785": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "de04cbe4e31c4254aadb89bee179ef3e": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "3752ac080d6e4fd2951bec621cbfcd33": {"model_name": "FigureModel", "model_module": "jupyterlab-plotly", "model_module_version": "^5.17.0", "state": {"_config": {"plotlyServerURL": "https://plot.ly"}, "_data": [{"base": 0, "marker": {"color": "#01B8AA"}, "offsetgroup": "0", "orientation": "h", "showlegend": false, "x": [0.039331456791016225], "xaxis": "x", "y": ["Drift Score"], "yaxis": "y", "type": "bar", "uid": "42b1f8af-71f7-4252-ab80-b1826fd7a3fa"}, {"marker": {"color": "#00008b"}, "name": "Train Dataset", "x": ["anger", "happiness", "optimism", "sadness"], "xaxis": "x2", "y": {"dtype": "float64", "shape": [4]}, "yaxis": "y2", "type": "bar", "uid": "8e04d303-bd33-44f6-98dd-ac6bc26a60b7"}, {"marker": {"color": "#69b3a2"}, "name": "Test Dataset", "x": ["anger", "happiness", "optimism", "sadness"], "xaxis": "x2", "y": {"dtype": "float64", "shape": [4]}, "yaxis": "y2", "type": "bar", "uid": "c411e191-50ec-4e8d-ba77-8399549fd0bb"}], 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"white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}, "yaxis": {"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": {"standoff": 15}, "zerolinecolor": "white", "zerolinewidth": 2}}}, "title": {"text": "model predictions", "x": 0.5, "xanchor": "center"}, "xaxis": {"anchor": "y", "domain": [0.0, 1.0], "dtick": 0.05, "fixedrange": true, "gridcolor": "black", "linecolor": "black", "range": [0, 0.4], "showgrid": false}, "yaxis": {"anchor": "x", "autorange": true, "color": "black", "domain": [0.9200000000000002, 1.0], "fixedrange": true, "rangemode": "normal", "showgrid": false, "showline": false, "showticklabels": false, "zeroline": false}, "xaxis2": {"anchor": "y2", "domain": [0.0, 1.0], "range": [-3, 6], "type": "category"}, "yaxis2": {"anchor": "x2", "autorange": true, "domain": [0.0, 0.7200000000000001], "fixedrange": true, "rangemode": "normal", "title": {"text": "Frequency"}}}, "_py2js_addTraces": {}, "_py2js_animate": {}, "_py2js_deleteTraces": {}, "_py2js_moveTraces": {}, "_py2js_relayout": {}, "_py2js_removeLayoutProps": {}, "_py2js_removeTraceProps": {}, "_py2js_restyle": {}, "_py2js_update": {}, "_view_count": 0}, "buffers": [{"encoding": "base64", "path": ["_data", 1, "y", "buffer"], "data": "4hgUmvJD3j+NNqLbk23NPxoLRKPSPZ4/JovmTWYh0T8="}, {"encoding": "base64", "path": ["_data", 2, "y", "buffer"], "data": "YlQC4y9z3z9RfvhASanKPydycyoMhaY/MP4y94ln0D8="}]}, "9d5bdcfe76c841eda4c55acfced12308": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_76eab61610df44b1900545df8aa11ae3", "style": "IPY_MODEL_1d502c392f7e4f27a9542609cbb84101", "value": "<br><a href=\"#summary_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\" style=\"font-size: 14px;\">Go to top</a>"}}, "76eab61610df44b1900545df8aa11ae3": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "1d502c392f7e4f27a9542609cbb84101": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "9a86c404b68145e6b6c3edfa21026655": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "7f5b1fda1767461083393496abf85e7e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "b125c14eee974ddbbbbd4a9ecdc1fafb": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_23432d0cd85c448c8ffa22d55b3c6358", "style": "IPY_MODEL_bd6b31dc5a714057b6672858d46d87c9", "value": "<hr style=\"background-color: #eee;border: 0 none;color: #eee;height: 4px;\">"}}, "23432d0cd85c448c8ffa22d55b3c6358": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "bd6b31dc5a714057b6672858d46d87c9": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "554c84ae705b44028fe46954d0c38550": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_4f5b398137344a4ba497fd4139d90ff9", "IPY_MODEL_d6a8708d1fa6403592c45d56196795b6", "IPY_MODEL_59034d40526c41bfb287f067ee0ea6d7", "IPY_MODEL_dc1b2241da594c8f8bbe2addfea1c190"], "layout": "IPY_MODEL_5e1c1010a5d143a783c52e442d2572c1"}}, "4f5b398137344a4ba497fd4139d90ff9": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_4305adc2eea64a1da42c758f16ca0c58", "style": "IPY_MODEL_649c4d5ef5fe40e5bd592e0b5b5b6b40", "value": "<h4 id=\"PropertySegmentsPerformance-TrainDataset_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\"><b>Property Segments Performance - Train Dataset</b></h4>"}}, "4305adc2eea64a1da42c758f16ca0c58": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "649c4d5ef5fe40e5bd592e0b5b5b6b40": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "d6a8708d1fa6403592c45d56196795b6": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_a2a24f0bad924d988a004a2e5bd15537", "style": "IPY_MODEL_66a5f755aac14460b0896d95d4940b7a", "value": "<p>Search for segments with low performance scores. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/model_evaluation/plot_weak_segments_performance.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "a2a24f0bad924d988a004a2e5bd15537": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "66a5f755aac14460b0896d95d4940b7a": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "59034d40526c41bfb287f067ee0ea6d7": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_81cd7269dcc14986ae2e94da4380a828", "style": "IPY_MODEL_3d47bd4345674a31ba8224f0c7ece9be", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_6721d_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6721d_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6721d_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6721d_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_6721d_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_6721d_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_6721d_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_6721d_row0_col1\" class=\"data row0 col1\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_6721d_row0_col2\" class=\"data row0 col2\" >WeakSegmentsPerformance was unable to train an error model to find weak segments.Try supplying additional properties.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "81cd7269dcc14986ae2e94da4380a828": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "3d47bd4345674a31ba8224f0c7ece9be": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "dc1b2241da594c8f8bbe2addfea1c190": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_aa5c222e31ef480d8e8f5f24e6690028", "IPY_MODEL_cf9d6250477c43e7ab8c54fd231343a8", "IPY_MODEL_b1fcdb92fa294fc99e95cb33a92fa84b"], "layout": "IPY_MODEL_befa3a609e254af289a3913a4586525e"}}, "aa5c222e31ef480d8e8f5f24e6690028": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_da56e1723005470080c682bd9d4f05af", "style": "IPY_MODEL_f07cff5e49524ea597629e4c519e2ba1", "value": "<h5><b>Additional Outputs</b></h5>"}}, "da56e1723005470080c682bd9d4f05af": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "f07cff5e49524ea597629e4c519e2ba1": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "cf9d6250477c43e7ab8c54fd231343a8": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_e43e72c752a24e15b7d7f74096240463", "style": "IPY_MODEL_1f09278ff26a4c61bb23016f741f538a", "value": "<div>WeakSegmentsPerformance was unable to train an error model to find weak segments.Try supplying additional properties.</div>"}}, "e43e72c752a24e15b7d7f74096240463": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "1f09278ff26a4c61bb23016f741f538a": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "b1fcdb92fa294fc99e95cb33a92fa84b": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_87626d47a0594e9faaa69b1143af2e71", "style": "IPY_MODEL_539a4f16ab534890a9d655fd49f7e3c8", "value": "<br><a href=\"#summary_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\" style=\"font-size: 14px;\">Go to top</a>"}}, "87626d47a0594e9faaa69b1143af2e71": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "539a4f16ab534890a9d655fd49f7e3c8": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "befa3a609e254af289a3913a4586525e": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5e1c1010a5d143a783c52e442d2572c1": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5e28fdbb7bca455dbb0ebbbb20b34aec": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": ["rendered_html", "jp-RenderedHTMLCommon", "jp-RenderedHTML", "jp-OutputArea-output"], "children": ["IPY_MODEL_9e0119a37c6844ae9dde788c977dc7b4", "IPY_MODEL_51dfbe134439449494f5fde83dd33f5c", "IPY_MODEL_7d5722e6065d4b5786c57825f0eb5f2c", "IPY_MODEL_73007ea1e5e14c43a7dde0509b504f4b"], "layout": "IPY_MODEL_353c136618bd4bd6a918cf6535e7690a"}}, "9e0119a37c6844ae9dde788c977dc7b4": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_a9bf7b00a5a34820a5a99e18230aebdd", "style": "IPY_MODEL_5d3b03df2706492bb26fd9fe7851a5ee", "value": "<h4 id=\"MetadataSegmentsPerformance-TrainDataset_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\"><b>Metadata Segments Performance - Train Dataset</b></h4>"}}, "a9bf7b00a5a34820a5a99e18230aebdd": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "5d3b03df2706492bb26fd9fe7851a5ee": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "51dfbe134439449494f5fde83dd33f5c": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_8b84a1f8f4f8438296bdb67b4483350c", "style": "IPY_MODEL_a4aec406695f4dea9d2b74f27bc1ff22", "value": "<p>Search for segments with low performance scores. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/model_evaluation/plot_weak_segments_performance.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "8b84a1f8f4f8438296bdb67b4483350c": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "a4aec406695f4dea9d2b74f27bc1ff22": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "7d5722e6065d4b5786c57825f0eb5f2c": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_04fa17fa31194a299d9c6711a07878c5", "style": "IPY_MODEL_47d42996f99742e4b64aaf8450bae79c", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_976c0_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_976c0_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_976c0_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_976c0_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_976c0_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_976c0_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_976c0_row0_col0\" class=\"data row0 col0\" ><div style=\"color: green;text-align: center\">\u2713</div></td>\n      <td id=\"T_976c0_row0_col1\" class=\"data row0 col1\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_976c0_row0_col2\" class=\"data row0 col2\" >WeakSegmentsPerformance was unable to train an error model to find weak segments.Try supplying additional metadata.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "04fa17fa31194a299d9c6711a07878c5": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "47d42996f99742e4b64aaf8450bae79c": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "73007ea1e5e14c43a7dde0509b504f4b": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_f4bb2e88cb644042abf007f8466f73e6", "IPY_MODEL_59ba0de5f81e406eaadec77753671b42", "IPY_MODEL_577e6f1090c14770a0b5a88b0b55072d"], "layout": "IPY_MODEL_18a7ac2662a5477eb82211bf2eee33fc"}}, "f4bb2e88cb644042abf007f8466f73e6": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_dba13961a38c44318a1c36dc86dac239", "style": "IPY_MODEL_8f0716efaf954e43af1ba068277d0328", "value": "<h5><b>Additional Outputs</b></h5>"}}, "dba13961a38c44318a1c36dc86dac239": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "8f0716efaf954e43af1ba068277d0328": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "59ba0de5f81e406eaadec77753671b42": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_4baf63590ed8451e919c7180427efe98", "style": "IPY_MODEL_ea9d292913fd434d9f29a0a9801cb1a0", "value": "<div>WeakSegmentsPerformance was unable to train an error model to find weak segments.Try supplying additional metadata.</div>"}}, "4baf63590ed8451e919c7180427efe98": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "ea9d292913fd434d9f29a0a9801cb1a0": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "577e6f1090c14770a0b5a88b0b55072d": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_775148da88244cee8dc67ca2d2fefab7", "style": "IPY_MODEL_cbf7ed2f6a2a49a982dde26ecb91701c", "value": "<br><a href=\"#summary_PG8SBI4Q2Y9V86WZS3T60RJIW-section-KJLTE\" style=\"font-size: 14px;\">Go to top</a>"}}, "775148da88244cee8dc67ca2d2fefab7": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "cbf7ed2f6a2a49a982dde26ecb91701c": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "18a7ac2662a5477eb82211bf2eee33fc": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", 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.. GENERATED FROM PYTHON SOURCE LINES 222-262

OK! We have many important issues being surfaced by this suite. Let’s dive into the individual checks:

Model Eval #1: Train Test Performance
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

We can immediately see in the "Didn't Pass" tab that there has been significant degradation in the Recall on
class “optimism”. This is very likely a result of the severe label drift we saw after running the previous suite.

Model Eval #2: Segment Performance
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Also in the "Didn't Pass" tab we can see the two segment performance checks - Property Segment Performance and
Metadata Segment Performance. These use the :ref:`metadata columns <nlp__metadata_guide>` of user related
information OR our :ref:`calculated properties <nlp__properties_guide>` to try and **automatically**
detect significant data segments on which our model performs badly.

In this case we can see that both checks have found issues in the test
dataset:

1. The Property Segment Performance check has found that we’re
   getting very poor results on low toxicity samples. That probably means
   that our model is using the toxicity of the text to infer the “anger”
   label, and is having a harder problem with other, more benign text
   samples.
2. The Metadata Segment Performance check has found that we
   have predicting correct results on new users from the Americas. That’s
   5% of our dataset so we better investigate that further.

You'll note that these two issues occur only in the test data, and so the results of these checks for the
training data appear in the "Passed" tab.

Model Eval #3: Prediction Drift
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

We note that the Prediction Drift (here in the “Passed” tab) shows no
issue. Given that we already know that there is significant Label Drift,
this means we have Concept Drift - the labels corresponding to our
samples have changed, while the model continues to predict the same
labels. You can learn more about the different types of drift and how deepchecks detects them in our
:ref:`Drift Guide <drift_user_guide>`.

.. GENERATED FROM PYTHON SOURCE LINES 264-280

Running Individual Checks
=========================

Checks can also be run individually. In this section, we'll show two of the more interesting checks and how you can
run them stand-alone and add conditions to them. You can learn more about customizing suites, checks and conditions
in our :ref:`Customizations Guide <general__customizations>`.

Embeddings Drift
----------------

In order to run the :ref:`Embeddings Drift <nlp__embeddings_drift>` check
you must have text embeddings loaded to both datasets. You can read more about using embeddings in deepchecks NLP in
our :ref:`Embeddings Guide <nlp__embeddings_guide>`.

In this example, we have the embeddings already
pre-calculated:

.. GENERATED FROM PYTHON SOURCE LINES 280-288

.. code-block:: default


    from deepchecks.nlp.datasets.classification.tweet_emotion import load_embeddings

    train_embeddings, test_embeddings = load_embeddings()

    train.set_embeddings(train_embeddings)
    test.set_embeddings(test_embeddings)








.. GENERATED FROM PYTHON SOURCE LINES 289-291

You can also calculate the embeddings using deepchecks, either using an
open-source sentence-transformer or using Open AI’s embedding API.

.. GENERATED FROM PYTHON SOURCE LINES 291-295

.. code-block:: default


    # train.calculate_builtin_embeddings()
    # test.calculate_builtin_embeddings()








.. GENERATED FROM PYTHON SOURCE LINES 297-304

.. code-block:: default


    from deepchecks.nlp.checks import TextEmbeddingsDrift

    check = TextEmbeddingsDrift()
    res = check.run(train, test)
    res.show()





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Rapping and<br>singing prolly be fire"], ["anger", "Puzzle investing opening portland feodal population is<br>correlative straight a snorting infuriate: XLzjYhG"], ["sadness", "so gutted i dropped one of my earrings down the sink at<br>school"], ["sadness", "I'm so bored and fat and full and ridiculously overweight<br>and rolls galore"], ["sadness", "@user I so wish you could someday come to Spain with the<br>play, I can't believe I'm not going to see it #sad"], ["happiness", "Val got a little too big for her hiking boots with that<br>bakewell, the little terror #GBBO"], ["happiness", "@user bts' \ud654\uc591\uc5f0\ud654 trilogy MV is my all time fav\ud83d\ude4c quite gloomy<br>but beautiful as well\u2728"], ["anger", "Why are people even debating on race inequality within our<br>justice system like it's non existent? They're just trying<br>to aggravate us."], ["anger", "@user @user don't get me started on town centre. Used to go<br>every week.... not been for 18 months #horrible"], ["anger", "@user ur road rage gives me anxiety."], ["happiness", "Well stock finished &amp; listed, living room moved around,<br>new editing done &amp; fitted in a visit to the in-laws.<br>#productivityatitsfinest #happy"], ["sadness", "nooooo. Poor Blue Bell! not again. #sad"], ["anger", "@user snap, seems to be a problem here"], ["happiness", "@user #ldf16 what shall we do this weekend?  #spraypainting<br>in #greenwichmarket with @user #core246 #lilylou #fret &amp;<br>#benoakley"], ["anger", "@user now you gotta do that with fast n furious"], ["anger", "Ffs \ud83d\ude48 when things come back to haunt you... cringe bad<br>cringe \ud83d\ude4b\ud83c\udffc\ud83d\udc40\ud83d\udd2b \ud83d\udc48 what a terrible gun that is"], ["happiness", "Another joyful encounter in Tribez &amp; Castlez! I just met<br>Bartolomeo! Do you want to know who that is? Download the<br>game and find out!"], ["anger", "Nothing else could possibly put a damper on my day other<br>than doing X-rays on someone with kickinnnnn ass breath \ud83d\ude3f"], ["sadness", "Migraine hangover all day. Stood up to do dishes and now I'm<br>exhausted again. GAD, depression &amp; chronic pain #anxiety<br>#depression #pain"], ["sadness", "Drop Snapchat names #bored #snap #swap #pics"], ["happiness", "@user @user @user @user gotta shake the booty instead<br>though, makes sure it's all good \ud83d\ude42"], ["sadness", "@user @user Horrid disease! My maternal grandmother and each<br>of her sisters suffered from this affliction. It's hard on<br>all."], ["anger", "Side chick's be trying to fuck u like your going to forget<br>about your wife when your done."], ["sadness", "Don't get too close it's dark inside \ud83c\udf2b\ud83c\udf0a"], ["sadness", "I am often disturbed by what some people find appropriate or<br>acceptable. It's not funny nor cute that adults find this<br>stuff humorous. #sad"], ["happiness", "@user ehhh I guess. I want to everyone I've ever burst out<br>laughing in front of\ud83d\ude02"], ["anger", "So Rangers v Celtic ll #revenge"], ["happiness", "@user she looks completely #rabid @user"], ["anger", "@user @user candy corn is the greatest candy in the world<br>when it comes to being objectively terrible"], ["anger", "You insult the late Sherri Martel"], ["happiness", "@user @user YES! I am rejoicing"], ["sadness", "Forgot to plug the phone in overnight #nightmare"], ["anger", "Damnnit! Gonna be 1400 pts shy on Chiefs Rewards of getting<br>a post game photo."], ["sadness", "Overwhelming sadness.  This too shall pass.  #lonley<br>#startingover"], ["happiness", "i love that tay &amp; tiff are just sitting at my house<br>while i'm at work \ud83d\ude43"], ["anger", "@user I was talking about further in the expansion, with<br>more gear - fury always does well towards the end"], ["anger", "I can't believe @user can't put up even 3 points on @user<br>#horrible #hugeletdown"], ["happiness", "Time to go hit up the library - I have a lovely PILE of book<br>reservations to collect this morning... #glee #books<br>#reading"], ["happiness", "#nana 4 hoco bc my dream since freshman year awe \ud83d\ude19\u2764\u2764\u2764 @user"], ["anger", "@user @user the refs are in GT's favor tonight. #terrible"], ["anger", "@user where's your outrage that your party nominated a<br>lying, corrupt person? And received donations from nations<br>who support terror"], ["anger", "@user What? Hillary has 27 different controversies and she<br>gets asked NOTHING about any of them. Truth is she's a<br>horrible candidate"], ["anger", "Finally uploaded the file I needed to the university<br>server's drop box. It took like half an hour and a lot of<br>cursing and anger on my part"], ["sadness", "@user @user I cancelled by CBS all access live feeds before<br>JC even said Vic won AFP. Paul.should have won IMO"], ["happiness", "I added Paul Walker on Xbox but he just spends all of his<br>time on the dashboard. #dark #humor #funny"], ["sadness", "Breaking out in hives for the first time since college<br>finals. #anxiety sucks"], ["happiness", "@user made me laugh, that quote. In a sort of rueful way."], ["anger", "@user can you please not have Canadian players play US<br>players, that lag  is atrocious. #fixthisgame #trash<br>#sfvrefund"], ["anger", "@user I've been disconnected whilst on holiday \ud83d\ude24 but I don't<br>move house until the 1st October \ud83e\udd14"], ["happiness", "@user @user It's hilarious"], ["happiness", "Friday is here, and we are open tonight and tomorrow. Get a<br>jump on your Halloween and come play with us. #hauntedattrac-<br>tion #tulsa #haunt"], ["happiness", "@user [he gives a gleeful squeak and wraps around you] All<br>mine!"], ["sadness", "@user See your primary care doctor. They can prescribe meds<br>and refer you to a psychiatrist for eval. Don't mess with<br>depression."], ["optimism", "@user So I worry about emphasis on 'keeping family together'<br>as a guiding principle, due to my own experiences"], ["anger", "So I've decided to go talk to Mr. Smithrud about that creepy<br>fucking guy since he gave me a fucking anxiety attack this<br>morning"], ["sadness", "Idk why but this Time around its so hard that it hurts, I<br>already miss them all so much #silly #family #friends<br>#nervous"], ["sadness", "If Payet goes either in Jan or @ the seasons end, can't say<br>I blame him. The boy must b so disheartened by what he's<br>seeing at the mo."], ["happiness", "I like cycling because I get to intimidate people with my<br>powerful calves &amp; horrendous tan lines."], ["anger", "@user be nice if the Texans could hold onto the ball to give<br>fuller and Hopkins a chance!!! #awful #TNF"], ["anger", "@user add tracking but resent them"], ["anger", "@user ...specifically are the cause of it all, and they<br>resent being considered the enemy."], ["sadness", "Haven't gotten one hour of sleep... Today is going to be a<br>fun day \ud83d\ude10"], ["sadness", "not near my kitchen so unfortunately I cannot do a cooking<br>snap series \ud83c\udf73"], ["happiness", "Clash of the titans and wrath of the titans \ud83d\ude4c\ud83c\udffe\ud83d\ude4c\ud83c\udffe\ud83d\ude4c\ud83c\udffe \ud83d\udd25"], ["anger", "@user This is it. The complete illiteracy around the role,<br>nature and extent of British agents is shocking."], ["happiness", "It's a beautiful day today. Cloudy but sunny and breezy."], ["happiness", "@user I'll be there!! Can't wait for all the #mirth!"], ["anger", "Donnie trumpeter is a vapid and vacant vile viper slithering<br>through the landscape and playing on the gears of the<br>fearful and afraid."], ["anger", "Hate being sober so I popped two"], ["anger", "I'm just a fuming ball of anger today \ud83d\ude43"], ["anger", "@user negative campaign of doom and gloom don't win<br>elections"], ["sadness", "@user @user Start mournful then kick into major key in last<br>verse where good guys win? (Or just change words in existing<br>song?)"], ["anger", "I remember when Rooney wanted to leave United and the fans<br>threaten to kill the man and bare junk... wanna regretting<br>that now? \ud83d\ude02\ud83d\ude02"], ["anger", "God knows why you'd wanna go with a girl who's slept with<br>half ya mates #grim"], ["anger", "because a kitchen sink to you is not a kitchen sink to me,<br>okay friend?"], ["sadness", "At my age all I see is gray. Is it gray because of my bad<br>eyes or my perspective #depression  #healingjustice"], ["anger", "I can't even right now #bb18 #rage"], ["anger", "ICQ is just making me mad!!!\ud83d\ude24 #icq"], ["sadness", "Has anyone noticed that @user stories in recent days all<br>paint positive accomplishments for Trump and challenges for<br>Hillary? #surprised #sad"], ["anger", "Checked-in for my flight to Toronto. Took seat 3D just to<br>infuriate @user"], ["anger", "If Monday had a face I would punch it #monday #horrible<br>#face #punch #fight #joke #like #firstworldproblems #need<br>#coffee #asap #follow"], ["sadness", "It's my last week at CN! I'm gonna be sad to leave, but this<br>will also be my first planned break since going into<br>animation!"], ["happiness", "@user can you at least just walk past her and break out into<br>laughter"], ["anger", "@user Anything is better than a Trump ramble. He is awful.<br>Truly truly awful."], ["anger", "when you find out the initiative isn't even a thing \ud83d\ude27<br>#revenge"], ["sadness", "you make my heart shake, bend and break.'"], ["happiness", "How wonderful to see a show with a token man for once!<br>#GlasgowGirls was uproarious, gleeful, important &amp;<br>uplifting. Go see @user"], ["sadness", "I haven't watched my favorite youtubers in months and it's<br>honestly made my depression so much worse"], ["anger", "I am going to make it my life's mission to discourage anyone<br>from using @user They will rob you blind"], ["sadness", "I'll just have to #eat my way to #sobriety. This'll be a<br>hell of a journey back to #sober"], ["happiness", "@user @user grim should find broken Matt hardy because he<br>can delete everything lol"], ["sadness", "Panic attacks are the worst. Feeling really sick and still<br>shaking. I should be a sleep.  #depression"], ["anger", "@user @user @user @user @user How did that chop feel? You<br>still feel the sting of it? Looks brutal!"], ["anger", "some of the casuals tweets that Vic has faved are making me<br>gag #bitter"], ["sadness", "After a nervous couple of days test results now confirm my<br>life will be no different whatsoever as the result of two<br>actors divorcing, phew!"], ["sadness", "Trial result #sadness"], ["happiness", "Google caffeine-an sprightly lengthening into the corridor<br>re seo: WgJ"], ["sadness", "Andrew's hands start shaking and he says 'I hope I die..<br>like right now'"], ["anger", "When your body says FUCK YOU BITCH, You ain't sleeping\\n#sle-<br>ep #cantsleep #drained #restless"], ["sadness", "#Facebook is #depressing without even being there. Two apps<br>want it for logging in, I have missed at least two<br>interesting #events and they"], ["sadness", "Mom you remember when Narley died? You cried like a baby!<br>#bully"], ["anger", "How had Matty Dawson not scored there!!!!!"], ["anger", "TVGirl is like I'm really pretty and melancholic about life<br>and this is why I hate myself"], ["anger", "@user why should I listen to someone with a tie like that?"], ["sadness", "Too many are on their 'yeah, the thing going on with cops<br>shooting innocent people is sad - but just not in my<br>backyard, so..' #sad #blm"], ["anger", "im what a 90s tv bully would call 'a nerd' but i would<br>rather shove one thousand nickels into my right earhole than<br>go to new york comic con"], ["anger", "They're like the rape apologists who (inadvertently?) make<br>men sound like rabid, mindless beasts. With friends like<br>these..."], ["happiness", "One time I saw Rachel from glee tell someone their job was<br>on a pole and I said that in 5th grade to a boy and he look<br>confused"], ["anger", "@user correction 26 ppl. Checked in. Standing at the gate.<br>&amp; Flt 1449 took off without us."], ["happiness", "A 'non-permissive environment' is also called a 'battlegroun-<br>d' - #MilSpeak #hilarious"], ["anger", "@user @user annoyed by the good loving fans of Onision<br>including myself Is really annoyed at how people just are<br>too cheerful."], ["anger", "For the last 2 years the U.S. has been averaging about 4<br>terrorist attacks a month. Good debate topic. #Trump<br>#Hillary #terror"], ["anger", "I mean, is she supposed to seem joyous when she's talking<br>Rodrigo Duterte, ISIS, the American economy, etc.? Think<br>about what you're saying."], ["anger", "History repeating itself..GAA is our culture how dare anyone<br>think it's ok to discourage any Irish person from attending<br>any match or final"], ["sadness", "Finally watched #hungergamesmockingjay2 this morning, sadly<br>I feel a little disappointed #toomuchhype"], ["optimism", "Don't let worry get you down.  Remember that Moses started<br>out as a basket case.  #lol \\nToday, choose #faith over <br>#Moses"], ["anger", "@user I had to unfollow, he got trolled by trolls. His<br>revenge trolling just caused a lot of collateral damage."], ["anger", "James: no 500k, no 50k, no 25k, no 10k. You fucked up. #bb18<br>#shouldofVotedforNicole"], ["anger", "Stop tracking back you fucking potato faced cunt errrr<br>infuriating \ud83d\ude20\ud83d\ude20\ud83d\ude20\ud83d\ude20\ud83d\ude20 #angry #Rooney #mufc"], ["sadness", "Snores on TL. Boredom sunk in."], ["happiness", "Listening to old school house music kentphonic-sunday<br>showers 'hanging around' 'sing it back' #blues"], ["sadness", "@user @user sadly not !! One less hour drinking time \ud83d\ude22\ud83c\udf7b"], ["happiness", "@user + returned her joyous focus to the pastel-haired girl.<br>'Wawa's okay, tooooo~!' She squealed before raising her<br>eyebrows at the +"], ["anger", "@user Don't ask, you don't get. Apologies if I've offended<br>you. All due respect Alan, I think you've been fed duff<br>info."], ["anger", "@user a multimillionaire spoiled brat who gets In a self<br>righteous huff bc his friend is Muslim is a non starter<br>bye!"], ["sadness", "Just heard what happen at grandad hometown last night such a<br>terrible news \ud83d\udc94, hope everyone okay \ud83d\ude22"], ["sadness", "@user cum and despair"], ["optimism", "@user If you don't love yourself... Honesty is the best<br>policy"], ["happiness", "@user after such a heavy 2 days this has given much needed<br>levity. Thanks bro"], ["anger", "(Sam) Brown's Law: Never offend people with style when you<br>can fake that, you have to break us in this Island."], ["happiness", "#Trends thread;'P)..it was in my #drafts&amp;now #posted 2<br>mins after my #birthday..so #close:'O!:''/...but anyway it<br>#really was the #start of"], ["sadness", "Shantosh: How crazy would it be to walk past and talk to a<br>person everyday never realizing he is suffering from<br>depression or such? \u2026"], ["anger", "#GBBO is such a homely pure piece of tv gold. Channel 4 will<br>attempt to tart it up. Mary, Sue and Mel gone. It's over.<br>I'm out. \ud83d\udc4b"], ["anger", "@user you should be criminalized for posting a pic of that<br>brown frown.... Get a pic of some jack, or cookies, or<br>diesel, Join up @user"], ["happiness", "@user yep &amp; I stayed in pjs all day too lol x"], ["happiness", "@user You are beyond wonderful.  Your singing prowess is<br>phenomenal but damn... I'm just elated to watch you act<br>again. #ThisIsUs \uf917"], ["happiness", "having a pet store worker ask 'do you want to play with<br>them?' is the most exhilarating feeling"], ["optimism", "If you really care like you state @user @user then I would<br>seriously address sensitivity training to your employees"], ["sadness", "So Mary Berry, Mel and Sue have gone with their principles,<br>and @user  has gone with the fame and fortune. #GBBO <br>#depressing"], ["anger", "resentment is rlly my shit."], ["anger", "not to be That Person\u2122 but i get bitter seeing some ravi<br>stans"], ["anger", "Cam cannot be serious with that IG post and that stupid ass<br>font he uses. Would've been better to just say nothing."], ["anger", "So they #threaten to kill #kapernick for KNEELING. I say<br>every athlete just stop playing until social justice and<br>equality comes forth."], ["anger", "@user Yikes. The wrath of Maddie..."], ["anger", "Ever put your fist through your laptops screen? If so its<br>time for a new one lmao #rage #anger #hp"], ["anger", "Some of these fb comments and/or tweets should make some<br>people realize why black Americans feel the way they do \ud83d\ude33"], ["sadness", "@user ew omg that is so grim"], ["happiness", "I wanna go to fright fest with squad"], ["sadness", "Came in to work today 1.5 hours late.1st thing I hear:<br>'Ma'am,the big boss has been waiting for you in his office.'<br>#panic #hateBeingLate \ud83d\ude29\ud83d\ude2a"], ["sadness", "@user @user it's sad but now we are making our own children<br>vulnerable to the same terror."], ["happiness", "Stk is expensive but i'f rather take a bigger female there<br>than tiff. You all see how slim she is and how she loves to<br>eat."], ["anger", "These people irritate tf out of me I swear \ud83d\ude44 I'm goin to<br>sleep \u270c\ud83c\udffe\ufe0f"], ["anger", "@user #VoteYourConscience or succumb to #fear? 'He is<br>#scary, he is #dangerous!' -@HillaryClinton's #alarmist<br>#PATRIOTACT platform."], ["anger", "When you forget to mention you were bought dreamboys tickets<br>\ud83d\ude44\ud83d\ude02 #raging"], ["anger", "@user who do I contact about a shocking experience with<br>Clear Sky Holidays booked through you guys?? #customerservic-<br>efail #dreadful"], ["sadness", "@user @user It is very specific areas only. I care like 0%<br>about clothes, much to my mother's dismay."], ["sadness", "\u2014but he just can't. He feels tired but also restless. So<br>here he now, scrolling his own music player, playing some<br>music through his\u2014"], ["sadness", "Synth backing tracks = sadness\\n#depresspop #dark #+++ #alt<br>#fuckingmeup"], ["anger", "Panpiper playing Big River outside The Bridges in SR1<br>#outrage"], ["anger", "@user @user   Hell hath no fury like a women scorned.   <br>It's the affair.  Not the parenting"], ["sadness", "@user I think sadness is felt very strongly physically and<br>mentally.  It feels like it takes over and it's hard to<br>focus at work #MHChat"], ["sadness", "@user I'm confident they will NEVER experience our successes<br>of last 50yrs. Best they can hope for is to be another<br>Bournemouth #sad"], ["sadness", "Our soldiers in war zones are held to a higher level of<br>rules of engagement than our police officers."], ["happiness", "@user breezy luvvvv"], ["sadness", "Ffs clan... seriously never been so disheartened"], ["happiness", "Halloween party coming soon! #turnt #ruinT #lit #firesauce<br>#hotsauce #mildsauce #getsauced #champagnedreams #scary<br>#haunt #kittens"], ["sadness", "@user I knew you were going to do that. I would definitely<br>buy if I didn't live in Texas where you can't play DFS. ...<br>so depress"], ["anger", "@user Far from safe and staid I found it horribly OTT at<br>times while everyone seemed to be trying just a little too<br>hard. Not for me"], ["sadness", "she's always so insensitive whenever i grieve idgi"], ["anger", "So not pumped for this interview"], ["anger", "@user And you're cheerfully defending a group of unchecked,<br>armed thugs who've shown a history of racism, violence, and<br>lies."], ["anger", "Staff on @user FR1005. Asked for info and told to look<br>online. You get what you pay for. #Ryanair @user #Compensati-<br>on"], ["anger", "Your twitter picture just makes me fume."], ["anger", "some people leave toilets in fucking grim states"], ["sadness", "If i could just get my line to block! #germantownbroncos<br>#lilleague #popwarner #Broncos #usafootball  #lineman"], ["anger", "@user @user a serious character flaw. Nowhere close to<br>@user"], ["happiness", "#happy #birthday #day trip #great day #super nice weather<br>#blue sky #good mood #fun #love #ice cream #lycklig<br>#f\u00f6delsedag #\u00f6land"], ["happiness", "@user Yeah funny and sexy \ud83d\ude0d"], ["sadness", "@user It's an evening for lying around doing feck all. Looks<br>like an October evening down here #miserable"], ["anger", "@user So are you saying there's a good chance that two teams<br>might *gasp* finish last? One in the East and one in the<br>West? #offended"], ["anger", "@user keep your head clear an focused. Do not let T<br>intimidate you or use your children to silence you! Hate<br>when a man does that!"], ["happiness", "@user The best of make up horror story..."], ["anger", "we will send video to proper agency ,state workers harass<br>the public to fuel the ego of Scott Arniel  and trial court<br>what the bleep #bully"], ["anger", "Fools! Little did you know that getting angry and trusting<br>your instincts by walking right into my trap was a mistake!"], ["anger", "So apparently one of your bus drivers has a grudge against<br>me @user I was passed while waiting for it to stop. Real<br>service there.."], ["anger", "@user Support Qld and you'd never be #angry"], ["anger", "Psalm 2:12 Kiss the Son, lest He be angry, And you perish in<br>the way, When His wrath is kindled but a little."], ["anger", "@user This is goin to be as good as rocky vs hogan #terrible<br>#ohnowhatisyoudoingbaby"], ["sadness", "Said it once and I'll probably say it again, anything more<br>depressing than making your sandwiches for work the next day<br>#cry"], ["sadness", "I hate these crippling anxiety. :("], ["anger", "@user @user My shirt did not arrive today as promised, I<br>even pre-ordered it in June, who do I make my complaint to<br>?"], ["anger", "@user I've tried to get through 3 times today and waited 20<br>mins each time, what do I have to do to get through?!"], ["sadness", "My heart is hurting because I had to pour my milk out<br>because something was in it \ud83d\ude2d"], ["anger", "Did they offend us and they want it to sound new?"], ["anger", "@user Nope we don't have it. It's an #outrage"], ["happiness", "Carlsbad #Rouladen is one #delicious, hearty, home-style<br>dish! Stop by and let us know how you like it! #getdtl<br>#ldnont #chaucers #marienbad"], ["sadness", "@user he knows wonwoo can't hold any longer when his fingers<br>trembling uncontrollably :( so sol gives his mask for wonwoo<br>and"], ["anger", "It bugs me that people concern themselves so much with what<br>other people CHOOSE to do with their money \ud83d\ude02\ud83d\ude48"], ["anger", "Up early. Kicking ass and taking names. #offense."], ["sadness", "@user I woke up in dread too. #2017"], ["happiness", "@user Thanks bby \ud83d\udc9a tiff got a pair too so I'll probably<br>steal hers lol"], ["happiness", "@user at his best.... Great to watch u go big sir.<br>#tremendous hits \\nDts boom boom Afridi \ud83d\ude0d"], ["anger", "Today if i was a colour it would be red !!! #rage"], ["anger", "I rage quit on Minecraft and I deleted the game. #rage"], ["optimism", "@user @user Sort it out @user"], ["anger", "#ATO hacking into your phone calls and text messages!<br>#privacylaws #invasion I knew they did it but hearing them<br>get approval !"], ["sadness", "Thing is ... It's hard to be sober"], ["sadness", "@user It's grim \ud83d\ude1d"], ["happiness", "@user Looks beautiful \ud83d\ude18"], ["anger", "#ColorFabb #Ngen Worst filament for me :( Good finish but so<br>fragile :'( cc @user"], ["sadness", "also had a dream i got to see my friend who's at basic rn<br>and woke up super sad because i won't see her until next<br>summer.. :("], ["happiness", "Ten: Amazing the snap power @user gets off such a short<br>back-swing! #threat @user Rd of 16 #ATP \ud83c\udfbe\ud83c\udfbe"], ["optimism", "#worry leads to tension and pressure #prayer leads to peace"], ["anger", "@user I didn't. We all went out and got pissed down the<br>local instead. \ud83d\ude04"], ["sadness", "nothing happened to make me sad but i almost burst into<br>tears like 3 times today\u00bf"], ["happiness", "@user @user Told you ! It's basically another iron man but a<br>cheaper version \ud83d\ude02"], ["anger", "@user This is the most fucking cursed FEHeroes unit I've<br>ever had the displeasure of seeing"], ["sadness", "Not all people are #concern, some are just enjoying seeing<br>people in #miserable."], ["sadness", "@user @user Why is this even a thing? #lost"], ["anger", "3 hours of hell again. #anxiety. At this point I'm convinced<br>I'll never get an on site job again or play keyboards live."], ["anger", "Boom pagod \ud83d\ude21"], ["anger", "@user how could you put this show on air !! Disrespectful to<br>so many mums and families \ud83d\ude21"], ["optimism", "@user @user Yes I also wrote to them cause my friend was<br>getting nervous about it. Hope we get what we want &gt;&lt;"], ["happiness", "The lecturer tonight had such a muppet frown it was great."], ["anger", "Mothafuckas wanna adopt the dark, but I was born in it"], ["sadness", "Shitty is the worst feeling ever #depressed #anxiety"], ["happiness", "@user 5000 likes. There are 300 million people in the U.S.<br>Ha. You are Real popular \ud83d\ude05"], ["sadness", "better care about yourself than about others because others<br>wont care about you #lonely #sad #depressed"], ["happiness", "@user Well, thank you. Sincerely \ud83d\ude0a"], ["happiness", "You can clearly appreciate the sub-harmonics in both...-ONE\ud83d\udcaf-<br>\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\udc4d\ud83c\udfff"], ["happiness", "Should I be flattered that locals keep asking if Im Swedish?<br>#Swedish #beautiful #Europe"], ["anger", "Skyq is \ud83d\udc4c\ud83c\udffc but it's about time @user sorted there internet<br>out! #dreadful"], ["anger", "Nothing fuels my daily anger and hatred like a bus driver<br>who stops at a yellow light"], ["anger", "Why am I listening to Trump when #BachelorInParadise is<br>suppose to be on...get this crap off my TV! #ugh"], ["sadness", "I start my day thanking my stars. Then I see my colleague<br>walk away early (notice period- honeymoon scenes) and I<br>wonder 'WHY GOD WHY !'"], ["sadness", "@user  #DeMario was a player but even an allegation of<br>#sexualassault will ruin a life. Be damned sure it's true.<br>#heartbreaking"], ["anger", "Are people becoming more annoying or am I becoming more<br>angry?! \ud83d\ude29\ud83d\ude12\ud83d\ude15\\n#introvertproblems"], ["anger", "Thousands of pickled certified ostrogoths ! #angry"], ["anger", "@user Who even knew that the Eu could be vindictive."], ["happiness", "Yaaaaaaaaaaaas!!!! Scotty Sinclair #wonderful #magical"], ["sadness", "I miss my friends so badly \ud83d\ude22"], ["happiness", "@user But his mannerisms are hilarious !!"], ["anger", "Nobody *assumed* what role you should play. It was a dream<br>cast. It's not real life. Get over yourself and pipe down.<br>#rage"], ["anger", "@user Yeah I've had that, l say hopefully you'll never get<br>it then you horrific waste of skin."], ["anger", "@user @user And using political power to exact #revenge when<br>they don't get what they want. #Kushner"], ["anger", "see, that shit would irritate me so much. don't save my<br>picture and then have a secret circle jerk on twitter about<br>how you DONT like me"], ["sadness", "As included in the Villalta scale, people living with #PTS<br>experienced heaviness of the leg and pretibial oedema.<br>#ISTH2017"], ["sadness", "Definitely crying from the worst nightmare I've had in a<br>awhile"], ["anger", "shaft abrasions from panties merely shifted to the<br>side\\n\\n#theoldsideshift #annoyance #humansoflatecapitalism"], ["anger", "All this fake outrage. Y'all need to stop \ud83e\udd23"]], "hovertemplate": "<b>%{hovertext}</b><br><br>Dataset=Train<br>Reduced Embedding (0)=%{x}<br>Reduced Embedding (1)=%{y}<br>Label=%{customdata[0]}<br>Sample=%{customdata[1]}<extra></extra>", "hovertext": ["Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train", "Train"], "legendgroup": "Train", "marker": {"color": "#00008b", "line": {"color": "DarkSlateGrey", "width": 1}, "opacity": 0.4, "size": 8, "symbol": "circle"}, "mode": "markers", "name": "Train", "orientation": "v", "showlegend": true, "x": {"dtype": "float32", "shape": [250]}, "xaxis": "x", "y": {"dtype": "float32", "shape": [250]}, "yaxis": "y", "type": "scatter", "uid": "f01b2ce1-ea48-42b3-8b57-df781354c0cf"}, {"customdata": [["anger", "My roommate: it's okay that we can't spell because we have<br>autocorrect. #terrible #firstworldprobs"], ["optimism", "Love is when all your happiness and all your sadness and all<br>your feelings are dependent on another person."], ["happiness", "@user @user wow. not heard this in forever. Random but.<br>great #sting #xph"], ["happiness", "On the bright side, my music theory teacher just pocket<br>dabbed and said, 'I know what's hip.' And walked away \ud83d\ude02\ud83d\ude2d"], ["anger", "@user I assure you there is no laughter, but increasing<br>anger at the costs, and arrogance of Westminster."], ["sadness", "i'm... nervous about this test rip"], ["sadness", "Wow... One of my dads top favorite throwback rappers just<br>died in a fiery car crash today in Atlanta, so sad so sad<br>\ud83d\ude37\ud83d\ude37"], ["sadness", "and I'm up from a dream where I said something really<br>retarded on twitter and it got like 10000 retweets<br>#nightmare"], ["happiness", "@user people have so much negativity filled inside them but<br>im always happy that in such a gloomy world someone like u<br>exists Namjoon"], ["happiness", "When something makes you excited, terrified, thrilled,<br>nervous, elated &amp; like you've been kicked in the guts<br>all at once. Need word for that"], ["optimism", "Carry on my wayward son, there'll be peace when you are<br>done. Lay your weary head to rest. Don't you cry no more.<br>#Supernatural"], ["anger", "Did we miss the fact that #BurkeRamsey swung &amp;hit his<br>sister #JonBenet in the face with a golf club previously out<br>of a fit of ?"], ["optimism", "If you think you're good to go already, don't worry about<br>it."], ["happiness", "As I remember and reflect on Reginald Denny on a night much<br>like this (like #Charlotte) I think to myself, the gun lobby<br>must be rejoicing."], ["optimism", "You can't fight the elephants until you have wrestled the<br>pigs. #quoteoftheday"], ["sadness", "@user awe man, when are you free then? \u2639\ufe0f\ufe0f\u2639\ufe0f\ufe0f\u2639\ufe0f\ufe0f\ud83d\udc98\ud83d\udc98\ud83d\udc98"], ["anger", "A country that gave safe house to #Osama Bin #Laden is<br>dangerous if not contained. #Pakistan is a #terror heaven,<br>declare so @user"], ["sadness", "@user Very thought provoking &amp; leads one to question<br>what really happened.Very sad for all."], ["happiness", "Happy Birthday @user  #cheerchick #jeep #jeepgirl #IDriveAJe-<br>ep #jeepjeep #Cheer"], ["sadness", "two major banking stocks down almost 15 to 20 % from their<br>highs while benchmarks still close to top it is a sure<br>#worry for markets"], ["anger", "How hard is it to get in touch with @user One simple<br>question I can't find answer to on website and 1 hour<br>waiting for online chat"], ["sadness", "I mourn the creativity lost."], ["happiness", "Professor: introduce yourselves and say one interesting<br>fact\\n\\nHi I'm Ethan and the Sun will engulf our planet in a<br>fiery explosion one day"], ["anger", "@user haha! She did well today. I can't get beyond her pout<br>annoying me I'm afraid."], ["sadness", "I just want to be in Canada rn \ud83d\ude2d awe"], ["happiness", "@user  cheering for @user and @user"], ["sadness", "#BB18 Michelle crying  again #shocking #bitter He's  just<br>not that into you \ud83d\ude22#TeamNicole"], ["optimism", "Step out of your comfort zone. \\nGo for risks.\\nFace things<br>you fear. \\n\\nThis is when life starts to happen.\\n\\n#cpd"], ["sadness", "@user Wow, did you get a really good buy on a bunch of '70's<br>movies? There were bad then and are worse now! #awful"], ["happiness", "Yo there's a kid on my snap chat from LA &amp; they get high<br>off helium gas lmao.... I am like why the fuck lol"], ["sadness", "@user Really sad &amp; surprising. 1 side #Russia fighting<br>against #IS &amp; on the other supporting #Pak which is epic<br>centre 4"], ["sadness", "So @user those of us born in 85 have no generation! Where is<br>the gen-less tribe! Ha! #survivor #lost soles"], ["anger", "It is too fucking bright &amp; too fucking hot outside"], ["anger", "Their engine runs on fuel called whining :-)\\n\\nU jst  hv 2b<br>observant..\\nHar din Rona dhona &amp; complain. \\nHappy news<br>makes them unhappy :-)"], ["optimism", "@user thank u so much! we just finished another #mindfulness<br>film called #release about #anxiety - plz share!"], ["anger", "@user @user It's no secret: personal dislike of Trump &amp;<br>animosity has always been present..now magnified with<br>bigotry/racism etc."], ["anger", "@user  #UNGA no talks should be carried out with Pakistan<br>now ... His mouth stinks of #terrorism #UriAttack"], ["happiness", "@user lmao! I can only imagine the frown across that face of<br>yours. #Hilarity"], ["optimism", "@user I know if I wasn't an optimist I would despair."], ["sadness", "We express our deep concern about the suspension of   @user <br>please reactivate it. he never violated T.roles @user"], ["anger", "Candice's pout gets more preposterous by the week. This week<br>it's gone a bit Jack Nicholson's Joker. #GBBO"], ["anger", "Projection is perception. See it in someone else? You also<br>at some level have that within you. #anger #worry"], ["anger", "@user Think about it if he need white peoples votes wouldn't<br>just reach out about things that only concern them &amp;<br>leave out rest?"], ["sadness", "I know this is going to be one of those nights where it<br>takes an Act of God to fall asleep.  #restless"], ["anger", "#NawazSharif says lets end #terror. Sure, let #IndianArmedFo-<br>rces target the bases without #Pakistan interference<br>#Karma?"], ["sadness", "how maybe it was with you and your parents..that I would<br>understand you and your fear of indifference from your own<br>mom and dad.."], ["sadness", "my school photo is honestly horrid, i look so ew\ud83d\ude05"], ["optimism", "a #monster is only a #monster if you view him through #fear"], ["sadness", "The whole idea f a nation revolves around Kashmir &amp;<br>global terrorism: evrn don't care their kids dying of<br>hunger. #NawazFightsForKashmir"], ["anger", "The Apocalypse has hit our gym and it's  nothing what I<br>thought it would be...\\n\\nEveryone is wearing vests! What if<br>it's contagious?"], ["anger", ".@RepDelBene: 'Today's proceedings and the entire process is<br>an insult to our constituents.'"], ["anger", "@user first you take the room now you wanna beat me up<br>#bully"], ["happiness", "@user @user @user I still can't get jimmy garoppolo out of<br>my head and it's been almost 3 weeks. Thanks a lot!<br>#hilarious"], ["anger", "Americans as a whole are, for the most part, feeling<br>borderline despair at the very least. Looking at a situation<br>out of control."], ["anger", "Why does #terrorism exist in the first place? #AskTrumpOneQu-<br>estion"], ["anger", "@user oh so that's where Brian was! Where was my invite?<br>#offended"], ["anger", "Me: *sees incense burner* is this for drugs?"], ["anger", "there are magpies gathering around me help I'm going to be<br>swooped ! #terrorism"], ["sadness", "Light of day per heyday popularization backfire cinematograp-<br>hy: XUcQb"], ["sadness", "@user but sadly he missed some crucial and important points.<br>Indian terrorism in pk,  kal Boshan,  etc..  Raw involvemen-<br>t"], ["optimism", "Accept the challenges so that you can feel the exhilaration<br>of victory.' - George S. Patton"], ["sadness", "life is hard., its harder if ur stupid #life #love #sadness<br>#sadderness #moreofsad #howdoestears #whatislife"], ["sadness", "The smell of freshly cut grass didn't even cheer me up...boy<br>oh boy"], ["anger", "@user @user I need it today! Do u know how many fuckin<br>French plaits I had to do this morn with a stroppy 9 yr<br>old!"], ["anger", "Pro Tip: Go back to work when your kid reaches 20 mos old. <br>Stay home any longer, and you'll be absolutely miserable<br>with the #tantrums."], ["sadness", "What terrible thing to see and have no vision-\\n\\nHelen<br>Keller-\\n\\n-Begin with the end in mind-\\n\\nStephen<br>Covey-\\n\\n #whereareugoing"], ["happiness", "second episode of AHS 6 here i go"], ["anger", "Just joined #pottermore and was sorted into HUFFLEPUFF \ud83d\ude21\ud83d\ude21\ud83d\ude21<br>#fuming"], ["optimism", "@user i know i don't know u, but physiatrists are seriously<br>the number one best thing for people with anxiety."], ["happiness", "Literally dying &amp; living at the same time as I catch up<br>on @user 's twitter. If you aren't following him your life<br>is BASIC. #hilarity"], ["anger", "@user can be as indignant as he wants but the world knows<br>Obama will do nothing and Putin will just do what he wants<br>#Aleppo #Syria"], ["sadness", "There goes the butterflies in my stomach.  #anxietyproblems"], ["anger", "@user What if the supposed animosity is all bullshit to con<br>the Iranians?"], ["sadness", "@user im pretty sure cause ever since saturday ive just been<br>super sad lol"], ["happiness", "Tweeting from the sporadic wifi on the tube"], ["optimism", "Never fear the want of business. A man who qualifies himself<br>well for his calling, never fails of employment."], ["anger", "@user  The solution is to punish the criminals. That's the<br>only way to discourage crime. or the circle will continue."], ["sadness", "I don't think I can go to work tomorrow since val has left<br>#GBBO I need a day to mourn"], ["anger", "Trump supports reach another level of irritation within me"], ["anger", "@user @user @user @user so you were owned by losers on<br>Twitter"], ["anger", "@user @user like going to a so called cardiac arrest that<br>turned out to be a cut finger! #fuming #medchat"], ["anger", "@user I don't read articles by people who rage about how<br>horrible 'Cybernats' are. Got it?"], ["anger", "Like he really just fucking asked me that."], ["anger", "@user I've contacted @user @user  #service #whathappenedtocu-<br>stomerservice"], ["sadness", "A night where depression is winning... #depression #fml<br>#help"], ["anger", "@user timid but determined version of the rabid beasts<br>beyond the land. Growling beneath my restrained breath, I<br>//rip// myself --"], ["sadness", "Back in Cardiff after an amazing 10 days away \ud83d\ude2d #depressing"], ["happiness", "At 12:01, Tumblr became sentient. At 1.:02, Tumblr posted gn<br>animated gif about it. At 12:03, Tumblr shipped itself."], ["happiness", "Nutella is pine green forget me nots are ivory frozen is<br>god"], ["sadness", "Feeling worthless as always"], ["happiness", "@user AWH tiff you're such a great friend I love you :((<br>thank you"], ["optimism", "A good head and a good heart are always a formidable<br>combination.' - Nelson Mandela"], ["anger", "Rt @user i need that one back, that whole cd was hard, the<br>one with a #rage flew through, rhyme flow, n the 1 u speak<br>on the dollar"], ["sadness", "@user why? Do you have depression?"], ["sadness", "Most days, I don't know what my heart beats for. #depressio-<br>n"], ["happiness", "Got to be up in 4 hours to go back to work #cantsleep<br>#excited"], ["sadness", "It's just the lack of company and liveliness out here that<br>makes me bored."], ["sadness", "life is hard., its harder if ur stupid #life #love <br>#sadderness #moreofsad #howdoestears #whatislife"], ["anger", "Having a nail half hanging off is absolutely fucking grim,<br>even with my acrylic holding it on \ud83d\ude37\ud83d\ude37"], ["anger", "@user @user Yeah, it was sooo horrific, I needed to sit<br>down"], ["anger", "Michelle is one of the worst players in bb history #bb18<br>#bbfinale"], ["anger", "@user - frustration, looking up at Elphaba in a frown of<br>aggravation. Her high pitched voice was growing more and<br>more --"], ["happiness", "@user \\nWho nose where those scent roses went\\nTo a spot in<br>the Orient\\nMummified\\nIn rapeseed oil fried\\nEating<br>drinking &amp; merriment."], ["optimism", "630am meeting Olympic House #10golds24 .  #relentless<br>#neverquit #believe #dreambig #TeamTTO #going4gold"], ["sadness", "Fewer and fewer good horror offerings from Hollywood every<br>year. Or have I just gotten too old for this shit?"], ["sadness", "i is sad"], ["happiness", "@user the bantz are absolutely top notch, inconsolable I was<br>when I realised"], ["optimism", "Everywhere I go, the air I breathe in tastes like home.' -<br>@user"], ["sadness", "where broken hearted lovers do cry away their gloom"], ["anger", "@user impossible to say. We can only hope that I don\u2019t<br>unwittingly trigger her ferocious side again. Hell hath no<br>fury.."], ["anger", "@user @user he has BAD TEMPERAMENT #tantrums #HissyFits"], ["sadness", "I'm so old next Friday. So super old\ud83d\ude29\ud83d\udc94 I dread birthdays"], ["optimism", "Avoiding #fears only makes them scarier. Whatever your<br>#fear, if you face it, it should start to fade. #courage"], ["anger", "@user @user fingers of fury!"], ["anger", "Hey @user why can I only see 15 sent emails? Where's the<br>thousands gone?"], ["happiness", "last nigt i dreamt \\nthat somebody loved me\\nno hope no<br>harm\\njust another false alarm"], ["optimism", "I want my highlight to be so bright that if I ever get lost<br>and someone is looking for me in the dark, they'll find me."], ["optimism", "It's about time I start taking my own advice"], ["anger", "Traditionalists say it should be bored by or bored with, but<br>not bored of, a 'rule' cheerfully ignored"], ["anger", "That way ur so angry you can literally feel ur blood<br>boiling"], ["happiness", "Twitter is a font of endless hilarity."], ["anger", "When someone tells you they're going to 'tear you apart' and<br>all they have to say is 'why are you so tall?' #shocking"], ["anger", "@user @user fuming"], ["sadness", "Just Laying Here, Can't Sleep 4 Some Reason #restless"], ["happiness", "We stayed up all night long\\nMade our drinks too strong\\nFee-<br>ling ten feet tall\\nRopes swinging into the water\\nIn the<br>middle of the night"], ["happiness", "Queen Bey will be smiling over sixth this afternoon"], ["anger", "@user We should be ignoring these rioters like the current<br>administration ignores #terrorism. This will obviously make<br>it stop."], ["anger", "ethan was with someone in the car when he did his revenge on<br>grayson"], ["anger", "@user @user @user @user @user terrorist attack and terrorism<br>already exists in the history of islam."], ["sadness", "@user @user included for maximum #sadness"], ["happiness", "Dad asked if I was too hungover to function today. Little<br>does he know I stayed sober last night so i could get shit<br>faced tonight \ud83d\ude05"], ["optimism", "Hope was an instinct only the reasoning human mind could<br>kill. An animal never knew despair."], ["happiness", "Sharpened a pencil today, haven't sharpened once since 1999.<br>\u270f\ufe0f #exhilarating"], ["happiness", "her fingers slide along your thighs, caressing the skin<br>before she's leaning down, down, down and the first lick is<br>teasing n playful."], ["anger", "why are people so angry toward veggie burgers at in n out<br>wtf"], ["happiness", "Hi guys! I now do lessons via Skype! Contact me for more<br>info. #skype #lesson #basslessons #teacher #free lesson<br>#music #groove #rock #blues"], ["anger", "@user Virtually every statement by other countries at #UN<br>has referred to #terror as main threat to peace, #Pak still<br>in denial."], ["anger", "@user Madrid is playing awful and no modric but 90 minutes<br>in Bernab\u00e9u stadium are so so long. Viallreal never won<br>there"], ["sadness", "It'd probably be useful to more than women, but I'm dealing<br>with re-reading an article about a woman being harassed on<br>the subway."], ["happiness", "I watch Amyah throw temper tantrums when she gets mad at<br>something and I'm just like damnit that is me and I can't do<br>nothing but laugh \ud83d\ude05"], ["sadness", "@user my heart just sunk."], ["happiness", "Historically Japanese have always been into #jazz and<br>#blues. The 70s dark age of jazz big names like C.C. &amp;<br>M.D. were surviving on Tokyo."], ["anger", "A Lysol can got stuck in spray position and we're all slowly<br>suffocating from the trash can that smells like a Febreeze<br>factory."], ["optimism", "@user door and cleared his throat, trying to dispel any<br>nervousness he had left."], ["optimism", "The ecosystem is meant to break thru the wall of #apprehensi-<br>on. It's easy to follow a fave music star &amp; watch their<br>goings on\u2013but #dentists?"], ["happiness", "Dark, dense, and exhilarating come the finale, #HellOrHighWa-<br>ter is a gripping watch."], ["anger", "Just had to reverse half way up the woods to collect the dog<br>n I've never even reverse parked in my life \ud83d\ude44"], ["anger", "So fucking mad my blood boiling."], ["anger", "@user They wanna bully the Inhuman."], ["anger", "A black female LEO\ud83d\udc99 was shot 8 times and died in Philadelphi-<br>a --Where's the #outrage black people? @user #Sharpton #blm<br>#TheFive"], ["optimism", "@user otherwise you're committing a crime against your soul<br>only sober ppl know what is good or bad for themselves"], ["optimism", "World wants #peace from #terrorism #WorldPeaceDay #internati-<br>onaldayofpeace"], ["happiness", "I found #marmite in Australia. `:)"], ["happiness", "Miami proficiency is like pleasing by what name miami<br>beaches: pIkxb"], ["anger", "#GADOT please put a left turn signal at Williams and Ivan<br>Allen Jr Blvd. This is absolutely ridiculous #ATLtraffic<br>#horrible"], ["sadness", "Police: Atlanta rapper Shawty Lo killed in fiery car crash"], ["optimism", "Are you #serious that #fredsirieix lives in Peckham......Sou-<br>th London's own #Love Guru(big up)"], ["anger", ".\\nWe express our deep concern about the suspension of  <br>\\n@MohammedSomaa01  please reactivate it. he never violated<br>T.roles @user"], ["anger", "@user i'm actually offended by it.  naming the most<br>fattening sandwich after a man who died of coronary disease<br>likely due to his diet?"], ["optimism", "Blessed are those who mourn, for they will be comforted \\n  <br>Mt 5:4"], ["anger", "Candice's pout is gonna take someone eye out mate! #GBBO"], ["happiness", "Season 3 of penny dreadful is on Netflix...well my afternoon<br>is filled"], ["optimism", "You have to find a way to top yourself."], ["optimism", "Inner conflict happens when we are at odds with ourselves.<br>Honor your values and priorities.  #innerconflict #conflict<br>#values"], ["anger", "@user  pls dont insult the word 'Molna'"], ["optimism", "$100 says Teufel is 'reassigned' within the organization<br>before next year, but I wish it was sooner... #Mets<br>#thirdbasecoach  #lgm"], ["sadness", "Imagine celtic burst the net wae every attempt, but nutt<br>same old dain it hard way usual"], ["anger", "i am revolting."], ["happiness", "I love swimming for the same reason I love meditating...the<br>feeling of weightlessness."], ["happiness", "@user happy birthday machaaaa \ud83c\udf88\ud83c\udf89\ud83c\udf8a stay awesome and murah<br>rezeki selalu \ud83d\udc4d\ud83c\udffb"], ["optimism", "\u201cLet us not become weary in doing good, for at the proper<br>time we will reap a harvest if we do not give up.\u201d\\nGalatian-<br>s 6:9 NIV"], ["happiness", "\ud83d\udd1d #love #instagood #photooftheday @user #photoeveryday #cute<br>#picture #beautiful #followme #happy #follow #fashion #pic<br>#picoftheday"], ["sadness", "watching that video and realizing that I've gotten uglier<br>#depressed"], ["sadness", "I hung up on my manager last night \ud83d\ude2d"], ["optimism", "@user Although I have a nice vulva, I choose not to<br>intimidate other women with it."], ["anger", "Just know USA, all Canadians don't agree with what Khadr's<br>settlement and his unwillingness to take responsibility for<br>his actions. #outrage"], ["sadness", "and every time i cry hard, fear blankets me"], ["anger", "@user @user @user You need a new tactic post-Trump/Brexit.<br>Hurling that insult around no longer works I'm afraid."], ["anger", "this one lady literally parked next to me and scared the<br>shit out of me \ud83d\ude43"], ["sadness", "Every day I dread doing an 8 hour shift in retail \ud83d\ude42"], ["sadness", "#AmarnathTerrorAttack @user @user cn u plz ans wt u r afrd<br>of or wt stpng u to end #terrorism wn whol #India is stndng<br>wth u"], ["anger", "Thousands of pickled dunder-headed anthracites ! #furious"], ["sadness", "I dreamt that my dog, Snoopy, came back to life. Man I miss<br>that dog \ud83d\ude41"], ["happiness", "#note8 #animated said pen. Amazing. Wife loves this one"], ["sadness", "My main concern are the children and his wife thats if she<br>is still stuck with him and if she is, then she's strong af.<br>Jeez \ud83d\ude1f"], ["happiness", "I finally got my drivers permit #yes #readytodrive #nervous<br>#scared"], ["optimism", "@user use the F word as much as you need to. People may<br>start to listen. :)"], ["anger", "blood rage"], ["anger", "Dirty Den returns, bursting forth from his grave to deliver<br>a horrible vengeance."], ["optimism", "You won't find #excuses if you seek #optimism. #realtalk"], ["happiness", "Me: How much price for this poster of this sexy man? Sales<br>Clerk: That's a mirror, sir.\\n #LaughOutLoud"], ["sadness", "And now that Im having the other way around, i feel so upset<br>and sad"], ["happiness", "He is very playful and can hardly stay in one spot."], ["happiness", "@user #awesome news for the blues"], ["sadness", "although I laugh and I act like a clown beneath this mask I<br>am wearing a frown my tears are falling like rain from the<br>sky"], ["happiness", "@user &amp; @user THANK YOU for the retweets. Much<br>#appreciated!!! #horror #monsters #MonsterBrawl @user"], ["anger", "We cannot let @user #bully any #indiedev into paying them<br>for a 'faster lane'. Most indie devs don't have these funds.<br>But @user does!"], ["happiness", "@user 'I spent so looking want to look like a Kardashian I<br>don't give even give a f**k it's the dad'\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\ude02 omfg\ud83d\ude02\ud83d\ude2d\ud83d\ude2d\ud83d\ude02<br>#hilarious"], ["happiness", "Shall rest by day, a fiery gleam by night;"], ["anger", "on July 13th,1989 in #Vienna , #Ghassemlou &amp; his fellows<br>was #terror by the agents of the #Iranian regime\\n#Iran<br>#Terrorism \\n#twitterkurds"], ["happiness", "Thx @user for hosting us @user \u2764\ufe0f my boys @user @user @user<br>\ud83d\ude0d #great #nite"], ["anger", "The second type of #anger is named 'settled and deliberate'<br>and is a reaction to perceived deliberate harm or unfair<br>treatment by others."], ["sadness", "Thought It was a joke so sad anyway #biwott"], ["happiness", "Horny. Anyone? #horny #bi #sex #london #snapchat #gaysnap<br>#hornysnap #snapchatgay #snapchathorny #gaysnapchat<br>#hornysnapchat #snapgay #snap"], ["happiness", "Frick! @user is hilarious! Lovin his portrayal of a rancher<br>picking up feed bags &amp; climbing over the panel! \ud83d\ude02\ud83d\ude02<br>#peedalittle #laugh"], ["anger", "@user leave it kanna. same thing happened after Uri too.<br>outrage and outrage until Sept 30. anyways re.. will be out<br>today too."], ["optimism", "There is much in the world to make us #afraid. There is much<br>more in our faith to make us #unafraid."], ["sadness", "@user The little details in life can build up to things that<br>could affect you negatively and eventually make unhappy and<br>lonely."], ["anger", "what does one do with all the bitterness + anger of lack of<br>job security, esp. when one has no obvious manoeuvres to<br>remedy the situation"], ["anger", "Rage, rage against the dying of the light"], ["anger", "@user it's awful!"], ["happiness", "Daughter, her husband and kids caught a boatload of red<br>snapper &amp; mackerel off Port Aransas... we enjoyed the<br>#fish feast #delicious"], ["anger", "I respect facebook and them killing Snapchat. If you can't<br>buy em, beat em #fb"], ["sadness", "@user what are the current statistics concerning 'backdoor<br>abortions'. If alarming, what preemptive measures are in<br>place?"], ["anger", "@user #shows how #irritated @user #brandkrk is #feeling for<br>his #community #brothers! So #Helpless \ud83d\ude48\ud83d\ude48\ud83d\ude48 #ShameOnBhakts"], ["happiness", "@user Im terrific thanks.\\nI hope you managed to get even if<br>it's just 40 winks of \ud83d\ude34. It was a crushing defeat. He was so<br>dejected"], ["sadness", "I keep getting so worried about the amount of plastic that<br>gets thrown away atm as if I didn't panic enough about the<br>environment already :)"], ["happiness", "@user I'd just whip up a cake batter or cookies &amp; throw<br>it in \ud83d\ude00 bakewell, frangipani is made with almonds"], ["happiness", "I thought he cried over some of his relative death or<br>something but when i know the truth . I just wanna burst out<br>\ud83d\ude02"], ["happiness", "@user @user Billy Joel is in huge danger, he's so brave<br>#inspiring"], ["anger", "@user Humanist &amp; sailor!? \ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\ude02\ud83d\ude02  You forgot to add<br>big time loser! #arsehole \ud83c\uddec\ud83c\udde7"], ["sadness", "School duties. \ud83d\ude27 good night ppl"], ["sadness", "@user Then dont disappoint them \ud83d\ude02"], ["sadness", "@user Always saddens me when marriage doesn't work. It's<br>never helps when people get involved and start twisting<br>things too.."], ["happiness", "Happy bday @user . You legit the big sister I never had \ud83d\ude0c<br>have an amazing day dude \ud83d\ude4f\ud83c\udffd"], ["optimism", "'First they #ignore you , then they #laugh at you , then<br>they #fight you , then you #win' #Gandhi"], ["sadness", "Majka didn't start  :("], ["anger", "Trump's a Magician.\\nBut the Prestige keeps being NOTHINGBUR-<br>GERS AGAIN\\nAnd the idiots keep foaming at the mouth in<br>packs over it.."], ["sadness", "It's not length, it's A #gnawing #sense of #dread."], ["anger", "#MiamiBryce asks Buck about Dak Prescott live during ASG.<br>And DC sports talk radio producers get to take the rest of<br>the night off. #outrage"], ["anger", "@user @user Where's the picture? \ud83d\ude30"], ["sadness", "Once she said you are my world, now she is saying not only<br>you exist in the earth. #pain  #heartbreaking"], ["optimism", "Never stay silent or let anyone intimidate you into silence.<br>Lets make the world a better, safer place for kids<br>#wallofsilence"], ["anger", "Why is an alarm clock going 'off' when it actually turns on?<br>#alarm #alarmclock #ThursdayThoughts"], ["optimism", "@user Indeed \ud83d\ude32\\nAlways a #worry for our #homeland #Gibraltar<br>#Spain \\n#Tale or #foretelling #future\\n#great #short<br>#story"], ["anger", "@user Sir, people need revenge"], ["sadness", "@user This thread is a bunch of Putin lovers rejoicing over<br>a video posted by Iranian state television. Sad!"], ["sadness", "Been so active these days. That now that I have a day off, I<br>am soooo restless. :P Haven't been restless in months."], ["anger", "Article 370 must be abolished. Human rights must be denied<br>to these NGOs, Separatist n terrorists who advocate peace n<br>terrorism. @user"], ["anger", "@user Muslims r justifying terror attacks on Hindus citing<br>babri, but who is hurting Hindu sentiments time and again by<br>killing cows?"], ["anger", "@user just because you married money doesn't mean you have<br>class it just means you are a high prices prostitute. <br>#adorable"], ["sadness", "@user This isn't about the UK government, sadly: reading<br>what I can of the article, it's coverage of the Irish law<br>review."], ["anger", "Feeling full of existential dread? Bash mass surveillance \ud83c\udf31"], ["sadness", "@user Sorry to burst your bubble, but opposition research is<br>part of every political campaign.  Doesn't matter where it<br>comes from."], ["sadness", "Would love to stop crying sometime today, on my tenth cry \ud83d\ude44<br>deep sadness on top of food poisoning do not mix. #miserabl-<br>e"], ["anger", "Few things more frustrating that organisations who don't<br>have media contact numbers and request you 'fill out our<br>online form' #rage"], ["anger", "Grumpy AF today #badsleep  #grumpy"], ["sadness", "I don't know how much longer I can play stupid \ud83d\ude12\ud83d\ude14 #heartbrok-<br>en #stupid #sadness"], ["happiness", "Cool and dreary in the orchard this morning. 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.. GENERATED FROM PYTHON SOURCE LINES 305-313

Here we can see some clusters that distinctly contain more
samples from train or more sample for test. For example, if we look at
the greenish cluster in the middle (by hovering on the samples and reading the tweets) we see it’s full of
inspirational quotes and sayings, and belongs mostly to the test dataset. That is the
source of the drastic increase in optimistic labels!

There are of course also other note-worthy clusters, such as the greenish cluster on the right that contains tweets
about a terror attack in Bangladesh, which belongs solely to the test data.

.. GENERATED FROM PYTHON SOURCE LINES 315-324

Under Annotated Segments
------------------------

Another note-worthy segment is the
:ref:`Under Annotated Segments <nlp__under_annotated_property_segments>` check,
which explores our data and automatically identifies segments where the data
is under-annotated - meaning that the ratio of missing labels is higher.
To this check we’ll also add a condition that will fail in case that
an under-annotated segment of significant size is found.

.. GENERATED FROM PYTHON SOURCE LINES 324-334

.. code-block:: default


    from deepchecks.nlp.checks import UnderAnnotatedPropertySegments
    test_under = tweet_emotion.load_under_annotated_data()

    check = UnderAnnotatedPropertySegments(
        segment_minimum_size_ratio=0.1
    ).add_condition_segments_relative_performance_greater_than()

    check.run(test_under)






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"@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "57f5a95ff54240829a1241b672ffeb58": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "6d695d3e98cd4b1eb0e2f7e9d7a329fe": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_41b63bf852ee4701adaf5ceb50e459e2", "style": "IPY_MODEL_aa61e7d89bb84337a90675726c373cff", "value": "<p>Search for under annotated data segments. <a href=\"https://docs.deepchecks.com/0.17/nlp/auto_checks/data_integrity/plot_under_annotated_segments.html?utm_source=display_output&utm_medium=referral&utm_campaign=check_link\" target=\"_blank\">Read More...</a></p>"}}, "41b63bf852ee4701adaf5ceb50e459e2": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "aa61e7d89bb84337a90675726c373cff": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "1b2f70df3f3c4794b5b13d8387904040": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_3314a12a225b4910a555b0530455a887", "style": "IPY_MODEL_0da39be49ab345a1bbbc64f24ac02878", "value": "<h5><b>Conditions Summary</b></h5><style type=\"text/css\">\n#T_ccfb7_ table {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ccfb7_ thead {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ccfb7_ tbody {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ccfb7_ th {\n  text-align: left;\n  white-space: pre-wrap;\n}\n#T_ccfb7_ td {\n  text-align: left;\n  white-space: pre-wrap;\n}\n</style>\n<table id=\"T_ccfb7_\">\n  <thead>\n    <tr>\n      <th class=\"col_heading level0 col0\" >Status</th>\n      <th class=\"col_heading level0 col1\" >Condition</th>\n      <th class=\"col_heading level0 col2\" >More Info</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <td id=\"T_ccfb7_row0_col0\" class=\"data row0 col0\" ><div style=\"color: orange;text-align: center;font-weight:bold\">!</div></td>\n      <td id=\"T_ccfb7_row0_col1\" class=\"data row0 col1\" >The relative performance of weakest segment is greater than 80% of average model performance.</td>\n      <td id=\"T_ccfb7_row0_col2\" class=\"data row0 col2\" >Found a segment with annotation ratio of 0.565 in comparison to an average score of 0.899 in sampled data.</td>\n    </tr>\n  </tbody>\n</table>\n"}}, "3314a12a225b4910a555b0530455a887": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "0da39be49ab345a1bbbc64f24ac02878": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "fe7ea639e80b44e28874710fc712a13d": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_8058ec93bcfd4502a83c5282f6ff54af", "IPY_MODEL_a7b27b9dc3dc455da37527ce39075e67", "IPY_MODEL_39aa5f84bfb84c84b94585dac963c68d"], "layout": "IPY_MODEL_b7a6052b5aa3406b9ac00a78b276c603"}}, "8058ec93bcfd4502a83c5282f6ff54af": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_635a000c1b6647019542a47e31c8f817", "style": "IPY_MODEL_b977f27d29a04c7c838792d5c01f1627", "value": "<h5><b>Additional Outputs</b></h5>"}}, "635a000c1b6647019542a47e31c8f817": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "b977f27d29a04c7c838792d5c01f1627": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "a7b27b9dc3dc455da37527ce39075e67": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_ffafccc0938c4334b9fa38021c6cf4a5", "style": "IPY_MODEL_de1429dc8c0a4cbf84c2ba5f77dea704", "value": "<div>Showcasing intersections of properties that result in the most under annotated segments.<br> The full list of under annotated segments can be observed in the check result value. </div>"}}, "ffafccc0938c4334b9fa38021c6cf4a5": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "de1429dc8c0a4cbf84c2ba5f77dea704": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "39aa5f84bfb84c84b94585dac963c68d": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_300d35eb7e694f0db6921d8328fc84ea", "IPY_MODEL_9170bdc807eb4fab8dd32983c0e13c7f"], "layout": "IPY_MODEL_dd054b56aeee49ad932c39ddd9017ceb"}}, "300d35eb7e694f0db6921d8328fc84ea": {"model_name": "HTMLModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "layout": "IPY_MODEL_f8f596be34254753b11ae2fc219bc8b5", "style": "IPY_MODEL_40345f3351ca454fa2566f97fb87f1ec", "value": "<style>.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {min-width: fit-content;}</style>"}}, "f8f596be34254753b11ae2fc219bc8b5": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "state": {}}, "40345f3351ca454fa2566f97fb87f1ec": {"model_name": "DescriptionStyleModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {}}, "9170bdc807eb4fab8dd32983c0e13c7f": {"model_name": "TabModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "_titles": {"0": "Fluency vs Formality"}, "children": ["IPY_MODEL_8a5f81be2bbc42be9a6d54b48fcd2704"], "layout": "IPY_MODEL_0ca0c3e34ef54195a3edd1b28ef7d4b3"}}, "8a5f81be2bbc42be9a6d54b48fcd2704": {"model_name": "VBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "state": {"_dom_classes": [], "children": ["IPY_MODEL_5c4eb3333af34e8aa71cbb45d4cf7393", "IPY_MODEL_2104e9d1d39a4c2ba46293563714e8c2"], "layout": "IPY_MODEL_f319b7c5736d41d781eb171a2ffdbde9"}}, "5c4eb3333af34e8aa71cbb45d4cf7393": {"model_name": "FigureModel", "model_module": "jupyterlab-plotly", "model_module_version": "^5.17.0", "state": {"_config": {"plotlyServerURL": "https://plot.ly"}, "_data": [{"fill": "toself", "fillcolor": "rgb(121, 100, 255)", "legendgroup": "box", "line": {"color": "rgb(121, 100, 255)", "dash": "dot", "width": 3}, "mode": "lines", "name": "Under Annotated Segment", "opacity": 0.4, "x": [0.0301413536071777, 0.0301413536071777, 0.3918749988079071, 0.3918749988079071, 0.0301413536071777], "y": [0.0044290423393249, 0.1574862003326416, 0.1574862003326416, 0.0044290423393249, 0.0044290423393249], "type": "scatter", "uid": "5ab34d36-da6c-44b9-84ee-f122f43884c9"}, {"hovertemplate": "<b>Fluency</b>: %{x}<br><b>Formality</b>: %{y}<br><b>text</b>: %{text}<br><b>Annotated</b>: True", "marker": {"color": "lightgreen", "line": {"color": "black", "width": 1}, "size": 10, "symbol": "circle"}, "mode": "markers", "name": "Annotated Samples", "opacity": 0.7, "text": ["I'm so nervous I could puke + my body temp is rising ha ha<br>ha ha ha", "@user @user @user Congratulations Jo, that's fantastic<br>#30Years #inspiring", "Depression sucks!", "But I was so intrigued by your style, boy.Always been a<br>sucker for a wild boy #alarm -@AnneMarieIAm", "I hate when stupid ass shit irritate me", "@user thanks mucho kate\ud83d\udc95 #sober", "@user @user fingers of fury!", "@user nick fury", "mm nothing like a good old fashioned panic induced cry on<br>your living room floor", "ffs as if tate thought wind in the willows was a serious<br>play, can't wait to see him play a singing badger \ud83d\ude29\ud83d\ude02", "Don't let worry get you down.  Remember that Moses started<br>out as a basket case.  #lol \\nToday, choose #faith over<br>#fear #Moses", "I never let anything below me concern me.", "@user @user Americans do not spank their children, and they<br>are a God fearing people who knows the biggest sin is<br>hypocrisy.", "#PeopleLikeMeBecause they see the happy exterior, not the<br>hopelessness I sometimes feel inside. #depression <br>#anxietyprobz", "2day's most used term is, #terrorism, with many addresses<br>and forms. On my #opinion, the only form of terrorism in<br>this world is, injustice!", "Lament a \\nsaddened heart,\\nso far &amp; \\nyet so near,\\nthe<br>years so\\ntough &amp; scarred,\\nthis lonesome\\nroad,\\nstill<br>feared! #depression \\n\\n#poetry #poem", "@user You made me laugh today when you told a caller to turn<br>up the volume, that you weren't doing the #MarvinGaye thing<br>#levity", "When my friends send me ballons and fireworks through<br>text... #amazing", "@user I used the wrong fowl sorry I'm a #disappointment<br>please #killme", "Looking for good news today...not finding any on Twitter.<br>Bummer. \ud83d\ude22 #depressing #badnews", "@user @user @user @user I thought it was because she once<br>sunk her teeth into something that's meant 2b sooked", "Elle: a delicious, dark, perverse work of intrigue, streaked<br>with cruel humour. Superb performance from Isabelle Huppert.<br>A one off #ElleDVD", "my school photo is honestly horrid, i look so ew\ud83d\ude05", "@user @user (like, hope i didn't offend with my commentary -<br>it wasn't what I was intending!)", "never afraid to start over", "@user literally was gloomy for an hour", "@user @user I need it today! Do u know how many fuckin<br>French plaits I had to do this morn with a stroppy 9 yr<br>old!", "Me: How much price for this poster of this sexy man? Sales<br>Clerk: That's a mirror, sir.\\n #LaughOutLoud", "When you lose somebody close to your heart you lose yourself<br>as well \ud83d\udc94 #lost", "A pessimist sees the difficulty in every opportunity, an<br>optimist sees the opportunity in every difficulty' -Sir<br>Winston Churchill-", "Wtf is wrong with u pldt \ud83d\ude24", "Bilal Abood, #Iraq #immigrant who lives in Mesquite, Texas,<br>was sentenced to 48 months in prison for lying to the Feds<br>about .", "Wishing a very Happy Birthday to our awesome dancer,<br>Ruthann!!! We hope your day is magical! #bday  #eatcake", "@user just curious as to what you mean. No rush, no<br>animosity, no disdain.", "@user having a terrific game and not at all fazed #MCFC", "@user @user Don't insult donkeys", "@user Truly dreadful", "Best quote from a 7 in German - Almost", "Tremor!!!\\n", "Kinda wished I watched mischievous kiss before playful kiss", "@user @user \\nbecause distrust in life , Argentina has a lot<br>of heart and this President is worth every vote.", "You will never find someone who loved you like I did. And<br>that my love, will be my revenge.", "@user @user The people worth knowing never behave like that,<br>so methinks it's a bit of denial and resentment", "Horny. Anyone? #horny #bi #sex #london #snapchat #gaysnap<br>#hornysnap #snapchatgay #snapchathorny #gaysnapchat<br>#hornysnapchat #snapgay #snap", "@user Don Jr lawyered up with the wrong folk. He aint so<br>bright.", "@user We took a trip to Ireland right before we bought our<br>home.  No way I could do it now.  I dread taking 2 days off<br>of work.", "@user But I do think we need to experience a bit madness<br>&amp; despair too. This is the stuff that makes us human.", "The war is right outside your door #rage #USAToday", "@user Giroud's beard is making me angry.", "Good to see India indignant about Amarnath Yatra. Do also<br>try and visit the area around it too. There may be some more<br>graves to weep for.", "It were during the past's mistakes- similar to terror was<br>pretty remarkable.", "dark lucha truly is the best", "@user Macron slips up and has a moment of clarity &amp;<br>common sense...now he is a raging racist. Sounds right.<br>#LiberalLogic", "\u266a Racing all around the seven seas\\nChasing all the girls<br>and making robberies\\n'Causing panic everywhere they<br>go\\nParty-hardy on Titanic... \u266a", "Lucky enough to not burn off ALL of my right eye lashes,<br>unlucky enough to burn them just short enough to irritate<br>all of my OCD tendencies", "Sigh. I got a B- .. #depressing", "Circle K is dead to me. I hate your new slushie machine. <br>#livid", "@user Happy to help :) If there is anything we can do for<br>you please don't hesitate to ask. - Thanks - James K", "It feels like there are no houses out there for us. With the<br>most basic requirements I have, there are literally no<br>options. #discouraged", "I'm actually very irritated \ud83d\ude21", "131: Lyttleton: Love can hope where reason would despair.", "A cheerful heart is good medicine, but a crushed spirit<br>dries up the bones. A wicked man accepts a bribe in secret<br>to pervert  justice.", "I lost my blinders ....", "That feel when you travel 700 miles to pick up a form that<br>arrives in the post two days after you leave. #fume", "and fuck you if you get offended. I feel like", "im thoroughly in love w zen and jumin and i dont think id<br>even have the patience for either of them irl im old and<br>weary", "@user @user if I catch you making tea with water boiled up<br>to 100 degrees, there will be dire consequences", "There's many things I don't care about, and many things I do<br>that I don't speak on because it's such a heaviness even<br>when released...", "#AutumnalEquinox the nights are drawing in, what a great<br>time to look at putting up some new #lights #dark #showroom<br>#news #wirral", "Honestly Michael Clifford is so fucking ugly who let that<br>rabid dog make music", "Finn singing 'Can't Fight This Feeling' in the shower and<br>Will spying on him is one of the best scenes on any show.", "#MTPDaily, @user that look you've been giving the camera,<br>so, umm, #angry? #frightened? #terrified? #IFeelYourPain<br>#NotmyPresident", "#Anger or #wrath is an intense emotional response.", "@user She chuckles, shaking her head. 'No...I just have a<br>really vivid imagination, I guess. It happens when you meet<br>someone&gt;", "God bless him in Hong Kong! #ex", "\u201cLet us not become weary in doing good, for at the proper<br>time we will reap a harvest if we do not give up.\u201d\\nGalatian-<br>s 6:9 NIV", "Nor hell a fury like a woman scorned -- William Congreve", "Don't get #bitter get #BETTER", "Gloriosa Bazigaga on #Rwanda work: 'I lost relatives in<br>genocide but 15 yrs of peacebuilding has given me optimism<br>it's within our power'", "That moment when people say you don't need medicine, it's<br>mind over matter. You need to stop doing that. #bipolar", "@user #dhoni bcoz of is calmness nd match winning  finishers<br>nd a proud #miltirian #dad#husband nd wonderful humanbeing<br>nd his #smile", "My bf drove out of his way after a long day just to spend 15<br>min holding me to make me feel better. How'd I get so lucky<br>#lucky #happy", "You have a #problem? Yes! Can you do #something about it?<br>No! Than why #worry", "THIS BOOK IS FRICKING INSANE LIKE HOLY CRAP.", "Shaking about your 2 bills on snapchat \ud83d\ude05 you're obviously<br>new to money", "@user  pls dont insult the word 'Molna'", "@user what are the current statistics concerning 'backdoor<br>abortions'. If alarming, what preemptive measures are in<br>place?", "@user @user Yeah, this actually supports why I tweeted in<br>this thread initially. Because of the article's righteous<br>indignation.", "It's weird because I was discussing sex resentment and<br>confusion in the thing I was writing last night.", "@user does being a #bully make u feel like a #bigman? Cos it<br>makes u a #twat", "God hears your voice optimism at the moment that you think<br>that everything has failed you \u2728.", "We have left #Maine. #sadness", "Forgot to bring extra boxers to the Y so Im currently<br>commando at Starbucks. This is exhilarating. I feel more<br>liberated than Angelina Jolie", "@user @user #Muslims have been in USA for ages. To think<br>that Muslims commit #terrorism due to #Islam, you gotta be<br>out of your mind.", "When you realize you start college in literally less than a<br>month hahahaha what the FUCK I just wanna be a #carefree<br>teen forever TF", "Jellyfish are turtles' food, turtles that you kill by<br>throwing YOUR plastic wastes in the sea. So don't complain<br>when they sting your ass.", "Liam is too distant makes me mourn \ud83d\ude2a", "When the surfer girl and i  don't speak the same language<br>anymore.. #justsaying #sadness", "Should I give the windy tiger those ankle and wrist tapes? I<br>didn't include any character-specific details in the burning<br>fox, so...", "@user UGH I can't even contain my excitement!! \ud83d\ude0d", "I know this is going to be one of those nights where it<br>takes an Act of God to fall asleep.  #restless", "Im so angry \ud83d\ude02\ud83d\ude43", "I really wanna go fright night at Thorpe Park next month \ud83d\udc7b", "@user We should be ignoring these rioters like the current<br>administration ignores #terrorism. This will obviously make<br>it stop.", "Anytime @user gets near a mic, someone needs to smack him w<br>a bat. @user #awful #marblesinmouth", "testing #angry", "@user @user Don't worry Narendra Modi is not Manmohan<br>Singh.", "There goes the butterflies in my stomach.  #anxietyproblems", "and apparently he's supposed to have a Scottish accent???<br>I'm #offended", "Petition for non-Maghrebi PoC to stop buying 'couscous' from<br>white grocery stores and boiling it. That is not couscous,<br>that is trash.", "From the archives... Strikeforce Champ Ronda Rousey 301<br>#chirp #church #mayhemmiller #naked #rip #rondarousey<br>#twitter", "@user Sorry to hear that Mark \ud83d\ude22", "Prayers &amp; Protection to our brothers and sisters<br>fighting in #Charlotte  #against #machines", "Usually the things you are most #afraid of are the most<br>#worthwhile. #FACT #TeamFollowBack #rocktheretweet", "@user b***er off. NCFC is a grudge match :)", "Inner conflict happens when we are at odds with ourselves.<br>Honor your values and priorities. #anger #innerconflict<br>#conflict #values", "And I won't even get started with Hillary and her fancy<br>fundraisers! #depressing", "Never fear the want of business. A man who qualifies himself<br>well for his calling, never fails of employment.", "@user bc it's a gloomy day Tony", "Omg he kissed her\ud83d\ude48  #w", "#Scorpio always seek revenge!", "@user Are u going to see her in the airport? \ud83d\ude03", "No matter how much @user lights up the forest, they end up<br>getting lost \ud83d\ude02 \\n#ZescoForest\\n#SSBola", "This nigga doesn't even look for his real family \ud83d\ude44\ud83d\ude02", "Have to go to a occupational services place for a drug test.<br>Yet they don't know what the heck is going on. Just great!<br>#blah #\ud83d\ude21", "#GADOT please put a left turn signal at Williams and Ivan<br>Allen Jr Blvd. This is absolutely ridiculous #ATLtraffic<br>#horrible", "The focal points of war lie in #terrorism and the #UN needs<br>to address #violentextremism", "@user @user @user @user @user goddamn...the 'celebrity'<br>draft at the end was classic. #hilarious", "In  fact,  sometimes i don't get furious at people who wrong<br>me, but   i get  furious at  myself  for being  a  fool.", "How was Natalie one of the top three favorites?! #toofaced<br>and #bitter \ud83d\ude44", "@user @user That part of Queensbury is a shocking disgrace.<br>The route from the station to Morrisons is festooned with<br>rubbish", "Action is the foundational key to all success ~Pablo Picasso<br>#inspiring #quote #action #hustle #start #dosomething<br>#success", "warning: i am a sensitive, angry, insecure baby today, but<br>UGH why do people at large either hate or ignore me bc it is<br>literally~the worst~", "Now this is getting out of hand. I'm freaked out by this<br>death...and I'm God!! #mommaGrendel", "You won't find #excuses if you seek #optimism. #realtalk", "@user @user @user Kirby's Black Panther in a cool animated<br>panel.", "#NawazSharif confesses that #Pakistan  supports #terror at<br>#unga\\n#BurhanWani", "@user Maybe that's why, we're asked to study hard and get a<br>job that we like. That way it wouldn't be that dreadful.", "Egyptian officials expressed frustration and outrage over<br>the Obama/Hillary administration\u2019s support of the Muslim<br>Brotherhood", "@user don't leave me #sad", "in geometry today hannah started crying of laughter because<br>ms. canning said 'pp' lol", "@user my first time in Slough so checked out the new station<br>floor  #LifeOnTheRoad", "There is much in the world to make us #afraid. There is much<br>more in our faith to make us #unafraid.", "@user black armed thug with a record carrying gun illegally<br>gets shot by black cop. #outrage   This is a joke.Let em<br>destroy their town", "i'm... nervous about this test rip", "@user YES!! I love making my own coffee drinks at home!<br>#super  !!", "I can't wait until I finally meet the loml. These pussy boys<br>are really starting to irritate my soul.", "Hell hath not fury like a hamstring cramp. #ouch", "ok, ok.. I know.. my last tweet was", "#BB18 Michelle crying  again #shocking #bitter He's  just<br>not that into you \ud83d\ude22#TeamNicole", "sleep is and will always be one of the best remedies for a<br>tired and weary soul", "Fucking hell. Rush for the damn train also no use. Fucking<br>4min wait. Still sweating.  #smrtruinslives", "Sad to hear interviews w/ Trump voters, now terrified abt<br>losing healthcare\\n\\n#npr #cnn #HuffPostPol #nyt #WaPo<br>#AP_Politics #BBCnews #msnbc", "Some people are so irrational! #irritated \ud83d\ude12", "So fucking mad my blood boiling.", "Evening all. Don't forget it's #RobinHoodHour TONIGHT \ud83c\udff9\\n\\n<br>#bizitalk #bizhour #southyorkshire #MansfieldHour <br>#sheffieldHour #NottsHour", "in health we did a think about depression and now i feel<br>like i have it", "@user @user How does this sorry excuse\\n for a human being<br>George Soros get away with all his #hatred filled #riots<br>#shameful", "I love swimming for the same reason I love meditating...the<br>feeling of weightlessness.", "@user @user Quite the response of retaliation from Weiner in<br>getting revenge on Huma &amp; Hillary 'clam digging'.\\n#AllS-<br>cumbags", "I miss my gran singing Rawhide, in her deep baritone growl.", "Yo there's a kid on my snap chat from LA &amp; they get high<br>off helium gas lmao.... I am like why the fuck lol", "@user \ud83d\ude02 He looked like a sea weed version of cousin IT from<br>adams family and was reaaaally tall.", "Saddest part about messing up both my legs/ankles? I miss<br>heels. Being a 7fg giant was fun. #sadness", "@user @user @user @user @user @user average 22000 for the<br>massif...", "I had a dream that I dropped my iPhone 7 and it broke T_T<br>#cry #iPhone7", "While we focus on issue of #IPCA @user Indulges in<br>#intimidation @user @user @user @user #StopCruelty", "\u201cDo not fret if you are not cool! Humans who follow me,<br>become instantly cool!\u201d #Bot", "Missing the 500th test match today , not able to witness it<br>like watching it in India #shy #indvsnz #500thTest @user", "What terrible thing to see and have no vision-\\n\\nHelen<br>Keller-\\n\\n-Begin with the end in mind-\\n\\nStephen<br>Covey-\\n\\n #whereareugoing", "mmmm i'm kinda sad i hope i can shake this before school", "@user I always preferred the quiver", "@user Dont forget to eat you dinner nunna \ud83d\ude04", "BANG! Gordon #Brown has been accused of abusing a gazillion<br>#rabid parrots!", "Feeling #restless today for some unknown reason", "How do you ever stop being #afraid of someone that you live<br>with", "Queen Bey will be smiling over sixth this afternoon", "Nawaz Sharif is getting more funnier than @user day by day.<br>#laughter #challenge #kashmir #baloch", "@user @user ohh.. so here comes sense from terror supporting<br>stone pelting vandalizing ppl who gather b4 protests to<br>announce ...", "@user Madrid is playing awful and no modric but 90 minutes<br>in Bernab\u00e9u stadium are so so long. Viallreal never won<br>there", "T minus 10 hours till I meet with a designer who wants me to<br>model his new fashion line \ud83d\ude2c\ud83d\ude36 !!!", "if i don't answer your 50 texts pls don't snap me", "\u201cWe can easily #forgive a #child who is #afraid of the<br>#dark; the real #tragedy of #life is when #men are #afraid<br>of the #light.\u201d\u2013Plato", "I dont know if i'm able to take care of kids or not. Duduk<br>dengan anak sepupu (boy) pun dah menguji kesabaran \ud83d\ude05", "@user why is there no disabled access at pontefract<br>monkhill?", "Strapless wedding dresses look awful on most people.<br>\\nJulianne Hough looked great \ud83d\udc4c\ud83c\udffc", "Hey @user you're going to go to jail one day.", "When you burst out crying alone and u realize that no one<br>truly knows how unhappy you really are because you don't<br>want anyone to know", "@user I was fuming at this!!!", "@user @user experience all plays a role in that, it's<br>education and preparedness not fear", "What are some good #funny #entertaining #interesting<br>accounts I should follow ? My twitter is dry", "In addition to fiction, wish me luck on my research paper<br>this semester. 15-20 pages, oh boy. #daunting", "why the fuck does my mum want me to put corn in the curry?!<br>#grim", "It's not that the man did not know how to juggle, he just<br>didn't have the balls to do it.\\n #funny #pun #lol  #punny", "the thing with Twitter is i only remember to tweet when i'm<br>bored or alone and then it comes across like i have a really<br>dull and sad life.\ud83d\udc7d", "@user @user you got hacked on your gaming channel grim by<br>evil wood clowns yesterday September 20 and September 21<br>today", "Fuckin hell even seeing your face makes me fume", "Why bother tweeting poor men's? \\nWhat good does it do?  If<br>I'm unable to be cheery,  I go quiet.  Missed you,  btw", "Looking for a Lyft ride? $50 free w/ Lyft Code: CLEO # MK<br>#mirthful #LOVETOSAVEMONEY", "@user #bitter we all have bad experiences, this was 22 years<br>ago...time to let it lie... @user forever \u2764\ud83d\ude0d\u2764", "This is the scariest American Horror Story out of all of<br>them... I'm gonna have to watch in the daytime. #frightened", "Me: 'I miss your personality,will it come back?' Him: 'I'm<br>sorry.I'm me. You be you.' #Sad #depressed #longdistancerela-<br>tionship", "omg i just heard my dads alarm go off have i really been up<br>all this time", "@user : Whaaaat?!? Oh hell no. I was jealous because you got<br>paid to fuck, but this is a whole new level.  #love<br>#conflicted\ud83d\ude2c", "I hate when people say 'I need to talk to you or we need to<br>talk.' My anxiety immediately goes up...", "I love when my dog is playful, but he really just scratched<br>my face while flailing his paws in excitement and almost<br>tore my nose ring out", "#Pakistan is \u2018terrorist state\u2019, carries out #war crimes:<br>#India to @user #terrorism #UN", "@user Then u understand that rage is often not pretty, or<br>controlled or rational - it is often visceral-not always<br>logical.", "@user I'm so mad for our clients I'm furious lmao", "lonely is not being alone, it's the feeling that no one<br>cares. #alone #depressed #anxiety", "@user I send ya a few #playful nibbles \ud83d\ude09", "@user \ud83e\udd26\ud83c\udffb\u200d\u2640\ufe0f  We were warned.  And now we basically only have<br>the choice between Trump, Pence, Ryan, et al for POTUS \ud83e\udd22", "@user Think about it if he need white peoples votes wouldn't<br>just reach out about things that only concern them &amp;<br>leave out rest?", "Depression &amp; fear come when we're hyper-focused on what<br>we don't have or who we're not instead all that we have and<br>who we are! #contentment", "This nightmare is nearly over gang gang gang", "@user this really sucks how much your customer service<br>sucks. I've been hung up on three times and this is<br>absolutely horrible.", "When I chirp, shawty, chirp back.", "Me: *sees incense burner* is this for drugs?", "@user @user @user don't ever compare those scrubs to<br>ben..he'll shake off your whole DL and throw a td #7", "kokobop is such a weird name\\nbut I remember that it is said<br>to be more lit that growl and it is #EXO so I'm accepting<br>the name", "At #UNGA Pakistan clearly shows the face of cowardliness and<br>blatant lies! Its time for #India to act upon terror.", "#AmarnathTerrorAttack  Muslims are killing everywhere Syria<br>Iraq Palestine Everyday beyond They say that Islam is<br>terrorism shame on you", "I hate it when im singing and some idiot thinks they can<br>just join in with me like...this is not fcking glee<br>#MeanRikonaBot", "@user I would like to know about the source of The<br>President's optimism about running the country. I wonder if<br>he can answer my curiosity.", "@user door and cleared his throat, trying to dispel any<br>nervousness he had left.", "@user I often imagine hoe our moon would feel meeting the<br>jovial moons which are all special", "why yall hyped abt that girl getting to hang out w JB, he<br>clearly looks so unhappy and bored in the pics no offense<br>LOL, plus he hates yall", "@user gives a frustrated growl, before stepping closer and<br>putting his gun through the barrier. No alarms and nothing<br>happened. He-", "@user I'm so sorry. This is heartbreaking and so scary. If<br>it can happen there it can happen anywhere. Please be safe<br>\ud83d\ude4f\ud83c\udffb", "Can someone make me a priority list of which things I should<br>be outraged at + in which order? #outrage #racism #animalrig-<br>hts #abortion #cops", "@user at one point this is what i wanted rba sa? hahaha pero<br>di jud oy di jud \u2639 what if ga humss ta? \ud83d\ude2d", "\u201cWhen the people fear the government there is tyranny, when<br>the government fears the people there is liberty.\u201d\u2015Thomas<br>Jefferson", "i've seen the elder watching me during my community hours<br>and i honestly don't have an idea about what my assignment<br>will be. #apprehensive", "We have all been there, and wished we didn't. 25 #hilarious<br>#AutoCorrect Fails", "@user @user I lost it at 18. Like, really not a big deal.<br>Don't worry about trivial shit like that.", "@user just had a steak pie supper", "@user both, scrap *ll the rage instead", "@user awe, I love you kid!!", "@user @user it is indeed time 4 you 2 create the Ghost<br>Filter \ud83d\udc7b please\ud83d\ude4f\ud83c\udffe#CanWeGetAGhostFilter ???  #snapchat<br>#ghostfilter #retweet", "@user @user @user @user Even the painting is orange! <br>#terrible #Election2016", "@user I coloured my hair bright red AND had a dodgy fringe.<br>#dreadful #nophotos #thankgoodness #betterblonde", "The patients were increasingly protected during heart<br>attacks, chains have encouraged smoke, anger and hundreds of<br>new hospitals.", "The snaps/Insta pics I see of the friends I made while in<br>Cali are so unbelievably depressing cause there's no place<br>I'd rather be but there", "I just burst into tears bc a friend told another friend he<br>would help him studying, he was so kind and wtf is wrong<br>with me", "I don't know how much longer I can play stupid \ud83d\ude12\ud83d\ude14 #heartbrok-<br>en #stupid #sadness", "I don't fear the unsettling demons inside of me. I let them<br>conquer the weakest nook of my soul for that is the only<br>provenance of my power.", "@user it's a step up from boiling broccoli tbh", "Come on blues #StateOfOrigin #Origin  #NSWBlues #nsw", "You won't reach a #goal you hide in a drawer. Keep it in<br>front of your face at all times.  #WednesdayWisdom", "'First they #ignore you , then they #laugh at you , then<br>they #fight you , then you #win' #Gandhi", "@user @user I got the 'currently not available for online<br>purchase.' #cry", "@user was a guest at your show today .. Just wanted to say<br>what an enjoyable experience from arriving to leaving<br>#smiling", "@user first you take the room now you wanna beat me up<br>#bully", "I seriously miss #ahsaftershow with @user and @user I need<br>to talk about the mamasitas and the hunks of horror.", "Dear Indians..It is hard to swallow this but for once try to<br>swallow this bitter pill...that is.. Pakistan is number one<br>in Test cricket!!!", "@user I am inconsolable at this GIF in context", "On that note, petition to take HPE for .5 credits so your<br>horrific grade in there matters less.  #ORUFreshmenAdvice", "where broken hearted lovers do cry away their gloom", "Harking back to 2012 - DT's challenge to @user will<br>give...DT a hearty thank you...if he will release his tax<br>returns....", "That way ur so angry you can literally feel ur blood<br>boiling", "Your attitude toward your struggles is equally as important<br>as your actions to work through them.", "When a grown adult doesn't drink or has never drank before I<br>just assume they were raised around a raging alcoholic and<br>they want no parts.", "Just #snorted #laughing @user #outtakes @user @user<br>#hilarious Best duo ever! @user", "Lost Frequencies/Janieck Devy - Reality (Gestort Aber Geil<br>Remix)' is raging at ShoutDRIVE!", "Arguing with these people doesn't work anyway, they just<br>threaten to put you in death camps.", "@user opened doors to terrorism and he will pay for it.<br>@user @user", "#Trump \u2019s \u2018Make America Great Again\u2019 plan is exactly like<br>the first 15 minutes of the #movie #ChildrenOfMen.\\n\\n#cages<br>#terrorism #refugees", "@user @user It ruins my frigging night each night at 9pm.<br>Mrs loves it, i've been early to bed for a month.", "So happy my next class is canceled bc..im od tired \ud83d\ude2d", "@user @user no it was a selfie of him from seven months  ago<br>look at the top left of the snap people", "It take so little to make a child's life joyful, why do we<br>work so hard to make their lives hell? @user Peace", "The man who is a pessimist before 48 knows too much; if he<br>is an optimist after it, he knows too little.'\\n-Mark Twain", "Not being able to jump on #mechwarrioronline is killing me .<br>#awful #internet", "These girls who are playful and childlike seem to have such<br>lovely relationships. Can't imagine them having serious<br>convos but it's cute  \ud83d\ude0d\ud83d\ude0d", "There are adults commiting serious crimes in the name of<br>protest.(like burning a library) how are we just expecting<br>them to get a warning?", "Anybody know a good place to book a show in #Montreal on<br>short but not super-short notice? #punkrock #postpunk<br>#blues", "@user but what I am doing is in my control, #AvoidMMT , you<br>guys are", "The more I watch this documentary on @user the more I think<br>@user is more a #nightmare than dream #dreamornightmare", "@user  The solution is to punish the criminals. That's the<br>only way to discourage crime. or the circle will continue.", "#internationaldayofpeace : When white supremacists terrorize<br>everyone of differing cultures online and will continue it<br>offline tomorrow.", "@user #shocking loss of talented young man#prayers#pray for<br>his family", "Nasty nasty chilly rain has put a damper on my afternoon<br>cigar.  This is NOT a good thing. @user And FOUR #CongressCr-<br>itters tomorrow?", "@user huhu kak help me through all of this", "@user Id argue that sakura space is the best of the<br>franchise and its not on your list. #dissapointed", "@user @user Do you really have to pedal like a nutter to get<br>anywhere? I remember it being more sedate.", "awoke from an actual nightmare about unicode normalization", "Having a movie day with my favorite today \ud83d\ude04 god I love my<br>lil goth bean.", "@user This would be the height of hilarity, were it not for<br>the fact that the adult swan is highly likely to attack.", "Living life so relentless", "@user you keep talkin shit and trying to offend me but<br>you're just petty as fuck", "I found #marmite in Australia. `:) #happy", "@user good to know \ud83d\udc4c\ud83c\udffc I'm hard to offend when it comes to<br>tmi shit lol", "Dry overnight here in Newmarket with a cool sunny start but<br>set fair for Ladies Day #good ground", "Life is too short to hide your feelings. Don't be afraid to<br>say what you feel.", "The whole idea f a nation revolves around Kashmir &amp;<br>global terrorism: evrn don't care their kids dying of<br>hunger. #NawazFightsForKashmir", "There is nothing like being in the shower when the power<br>goes out \ud83d\ude33 #creepy", "Close to the end of a revision...taking this story I love in<br>a new direction has been exhilarating for me. #endlesspossib-<br>ilities #amwriting", "@user It's daunting trying to follow Swift news/trends, and<br>facing mind-shattering patterns/terms left and right. I'm<br>trying to adopt gently.", "Do not grow weary in doing good. The treadlines are better<br>than deadlines.' @user #CGI2016", "life is hard., its harder if ur stupid #life #love <br>#sadderness #moreofsad #howdoestears #whatislife", "The point of maximum danger is the point of minimum fear.", "An @user kind of drive home from work today #nightmare<br>#dailyfeels", "India wants to #shake #hands with # pakistan ..... but as<br>usual pakistan #cheat with every #indian \\n\\n..........shame-<br>less pakistan", "it's pretty depressing when u hit pan on ur favourite<br>highlighter", "#Never be #afraid to #start over, it's a #new #chance to<br>#rebuild what you want! \ud83d\udd28\ud83d\udd29\ud83c\udfe2", "@user #sorrow of the #world produces #death. [2/2]", "The kid at the pool yelling is about to get a foot up his<br>ass. #shutup #parents #kids #horrible", "@user @user you should force your neighbours to pay that! <br>Those people have some nerve!!!  #outrage #Victim", "@user @user fuming", "@user What if the supposed animosity is all bullshit to con<br>the Iranians?", "@user  maybe it'd have been different if I stayed for sixth<br>form? But still, the oppressive architecture, uninteresting<br>people", "oh how i just love love love glee doing billy joel's<br>numbers!!!!", "The #pessimist complains about the wind; the #optimist<br>expects it to change; the realist adjusts the sails.' -<br>William Arthur Ward\\n#IGNITE", "@user @user @user not to worry, he'll flip Wisconsin", "@user @user evil, rich white men and their fucking cronies<br>in intelligence/gov/academia using blithe blacks as fodder", "@user They've officially said all the episodes left (so<br>future 12 and despair 11 and 12) will be delayed.", "Im so unhappy", "@user @user @user I once hooked them up backward. Not<br>recommended. #smoke", "@user @user You certainly wouldn't catch me with the<br>multitude.", "@user Network bandwidth died after 9gb offer reedemed,<br>damaging loyal customer relations  #improve", "#Goals 'Too many of us are not living our dreams because we<br>are living our #fears. ' --Les Brown #success", "I love looking at my old statuses on Facebook. The one I<br>have from four years ago on this day was about #glee. I had<br>so many opinions...", "@user It was dreadful, even after he met the Catfish he<br>still thought it was her!", "What a shamefull, unequal, dangerous and worrying world we<br>live in nowadays!  #terrifying #Charlotte #terrorism<br>#shitworldforourkids", "Ok but how are the fast &amp; furious movies NOT classified<br>as comedy's? \ud83e\udd14", "Literally being here makes me depress tbh", "Feeling worthless as always", "They are burning not Muslims Economy,\\nThey are burning the<br>Economy of Sri-Lanka", "Sector71-78 area is all full of #Immigrant #bangladeshi they<br>are a #threat to us\\nthey #steal #Rape #Kill #bully<br>\\n#SaveHindusInHindustan", "What's the worst affliction that you or someone you know<br>ever convinced yourself you had?", "@user #klitschko @user over fury any day #boxing", "@user @user because there is a realistic probability that a<br>clown might be their next president. #clown #uspol<br>#nightmare", "Penny dreadful 3 temporada", "A decent sleep makes Kurt a happy soldier. Spit &amp; polish<br>the converse men. chests out and baseball caps at a jaunty<br>angle.", "@user thank u so much! we just finished another #mindfulness<br>film called #release about #anxiety - plz share!", "No @user for MOS \ud83d\ude21  #shocking Leads from the front \ud83d\udcaa\ud83c\udffb", "@user @user ya and the d was what I was most confident<br>about..... our offense is as good as it's been in 20<br>years...our d sucks", "I forgot #BB18 was on tonight \ud83d\ude33 that is how much the real<br>world has been distracting me #horrid \ud83d\ude45\ud83c\udffc\ud83d\ude48\ud83d\ude4a", "doing some testing with my current earth burst team", "today afghanistan tell us where the terrorism is planned<br>whaaaooo#UNGA", "@user Do you live in Manhattan, broflake? You're fake<br>outrage is at whiny-Millennial level.", "@user lol senior year we would get early dismal for work<br>study ,he was her boss and you know what happened next \ud83d\ude43", "i am revolting.", "@user Same it's good but not great.Don't Breathe is the<br>horror film of the month for me. My Fav horror film of the<br>year (so far)", "@user never thought an angry oompa loompa would be my<br>Boggart, but there you have it. #boggart #PresidentTrump<br>#nightmare", "i is sad", "@user I'm not sure we like this comparison.  USA should<br>emulate #Israel's methods of protecting civilians against<br>#terror attacks", "@user - frustration, looking up at Elphaba in a frown of<br>aggravation. Her high pitched voice was growing more and<br>more --", "I thought he cried over some of his relative death or<br>something but when i know the truth . I just wanna burst out<br>\ud83d\ude02", "Boys Dm me pictures of your cocks! The best one will get<br>uploaded! \u263a\ufe0f\ud83d\udca6\ud83d\udca6 #Cumtribute #dm  #snapchat #snapme #nudes<br>#dickpic #cocktribute", "@user Are you always so relentlessly positive? Your<br>constantly cheerful optimistic disposition starts to grate<br>after a while.", "@user She's jogging a bit to stay beside her, puffing her<br>cheeks with a huff each time. 'Oh-- jeez Jasper, why don't<br>you \u2014", "#sadness #cry \ud83d\udc94 dad will never understand his 3rd child", "Approaching #terrorism from an anti-racism POV is futile,<br>instead promote prejudice towards racism. That way we are<br>all on the battlefield.", "@user today which can impact the signal, I'm afraid :-( Our<br>engineers are working to have this resolved by this evening<br>and you'll", "@user Wow, did you get a really good buy on a bunch of '70's<br>movies? There were bad then and are worse now! #awful", "can only blame Jose ere why would you give Rojo another<br>start after Sunday , fucking disaster waiting to happen<br>&amp; it did shocking header !", "Too many gloomy days", "Meghan is teaching the blues in keyboard fundamentals II and<br>all these classical majors are like WTF?!", "Anyone else find it really difficult to stop yourself from<br>making a really petty tweet when ur absolutely raging about<br>something ? \ud83d\ude2c", "I just killed a spider so big it sprayed spider guts on me<br>like a horror movie.\\n#ugh #revenge", "@user + and gives it to hear] 'Please.. I can tell you<br>anything if you want to listen. maybe you're dont afraid<br>anymore of me +", "@user ha! no perception needed -- just facts. it's a bunch<br>of dudes in suits trying to gobble up money while they're in<br>power #shocking", "Ill say it again. If I was a Black man Id be afraid to leave<br>my house or have a moving violation.\\n\\n#TerranceCrutcher<br>#truth #sad", "It's 2017 and there still isn't an app to stop you from<br>drunk texting #rage", "Maybe the entire Russian team will test positive for<br>meldonium and the North Americans will get to replace them<br>#optimism", "I'm about to block everyone everywhere posting about the<br>storm. I think everyone is aware of the damn rain and what<br>not so quit. #damn #rage", "There's nothing more #depressing to me than thinking about<br>how many times I will shave my legs in my lifetime.<br>#showerthoughts #writer", "It's #AmazonPrimeDay! And I'm #broke. So in reality it just<br>another day for me #depressing", "@user Sir, what about 2G, 3G, 4G, Coalgate, scams Parliament<br>Attack, Mumbai terror attacks despite intelligence input.", "@user I'm furious \ud83d\ude29\ud83d\ude29\ud83d\ude29", "ari looks hilarious oh my g d this is too much", "#quote What U #fear controls U. Fear is not out in life but<br>in ur mind. Real difficulties can be overcome - Cheryl<br>Janecky", "So going to local news immediately after #DesignatedSurvivor<br>turns out to be a smooth transition. 'Chaos! A raging<br>fire!...' #media #fear", "let's do an action for #AmaranthYatra  Stand against this<br>type of #shamless #activity give a one voice to against<br>#terrorism #india", "@user u fucked my house up I'll always hold a grudge", "#soywax limited edition horror candles going up @user Follow<br>us for all the latest news!!", "Importing shit is not new. If you want it, take the steps<br>necessary to get it. But don't sit and pout over Japan doing<br>what it's ALWAYS done", "Police don't wanna be called pigs but they keep actin like<br>em....honestly that's even an insult to pigs", "#Terencecutcher #Tulsa the man onthe helicopter said he<br>looks like a bad dude, that is the problem, when they see<br>black they see bad, #sad", "Appropriate that first secretary at permanent mission is<br>tasked with demolition of #terror state #Pakistan - Like<br>'renunciation of lies' bit", "@user It chases them away, girl. Or Matlakala. \ud83d\ude02", "Glad I didn't watch smackdown because I can't see my men<br>@user @user lose. #sohurt", "If Angelina Jolie can't keep a man no one can. Today we<br>mourn because Love is dead", "what's the nicest way to tell someone cheerfully whistling<br>outside my apartment door that I will end them should they<br>continue to whistle", "even walking around with my family members who carry guns<br>makes me nervous and theyre my family....", "I walked 3.4 miles today, the most I've walked since I got<br>#rhabdo. Going back to work tomorrow.. here's to hoping it<br>goes okay #nervous", "@user @user yes it's shocking how islamophobic Indias are<br>considering how many Muslims live there", "I should've gotten an apartment with Kenneth \ud83d\ude2d", "Last night my stomach was hurting and today I have a<br>horrible headache. I can never win", "@user There should need to take serious action over<br>terrorism sir", "I have a rage rage ep 2 coming out soon I'll keep you posted<br>on it #YouTube #youtubegaming #rage", "Sometimes The Worst Place You Can Be Is In Your Own<br>Head.'\\n\\n #quotes #worstenemy  #thinktoomuch", "A black female LEO\ud83d\udc99 was shot 8 times and died in Philadelphi-<br>a --Where's the #outrage black people? @user #Sharpton #blm<br>#TheFive", "The best kind of self harm is through the mind #depression", "@user bows out for the moment. Rather than sulk, I'm going<br>to @user for an opinion from the guys studying #Oligodendrog-<br>lioma. \u270c\ufe0f&amp; \u2764\ufe0f &amp; \ud83c\udf69's", "On the drive home today I heard a censored version of<br>Spirits by The Strumbellas. 'Guns' replaced with 'dreams'.<br>Just NO. #awful #censorship", "False alarm // matoma &amp; Becky hill", "I truly feel like science has the ability to make a milk out<br>of anything ... cashew milk, hemp milk, pine nut milk,<br>dandelion milk", "@user there is no room for jokes in hockey! This is a<br>serious business where we made up teams to fill out the<br>tournament! #outrage", "Is @user on Fourth of July holiday in his mind?\\nOr is the<br>heatwave getting to him, ha?\\nGOTTA use your mic! \ud83d\ude00\\nThanks<br>for the giggle!", "If I were my own republic, I would declare war on patchouli<br>incense.", "Inner conflict happens when we are at odds with ourselves.<br>Honor your values and priorities.  #innerconflict #conflict<br>#values", "@user @user @user nervous laughter ensues", "I would just give her with their naked body.", "I think #Saudis are responsible for most of the #islamic<br>#terror in the world. Both with their #Wahhabism and by<br>financing terrorists \u2026", "@user I'm enjoying this so much\ud83d\ude02 they're hilarious. I've a<br>headache from laughing... I need to stop now.", "That morning when you get half-way to work and THEN realize<br>the 4 year old is still in the back seat.  #backtrack", "Every day I dread doing an 8 hour shift in retail \ud83d\ude42", "CommunitySleepCoach: Look at these #narcoleptic #puppies.<br>Make you #smile. If you are human &amp; find yourself in<br>such odd positions, seek #th\u2026", "I wish the next madden has a story mode too. Just like Fifa<br>17", "Everything you\u2019ve ever wanted is on the other side of fear.<br>\u2013George Addair #ThursdayThoughts #yourpushfactor #fear #life<br>#quote", "If you think you're good to go already, don't worry about<br>it.", "Fewer and fewer good horror offerings from Hollywood every<br>year. Or have I just gotten too old for this shit?", "More #terror attacks on #India means something ominous for<br>#Pakistan The current situation can't last long", "Avoiding #fears only makes them scarier. Whatever your<br>#fear, if you face it, it should start to fade. #courage", "US you need to band together not apart #nevertrump he<br>promotes hatred and fuels", "The moment of the day when you have to start to plaster a<br>smile in your face. #depression", "life is hard., its harder if ur stupid #life #love #sadness<br>#sadderness #moreofsad #howdoestears #whatislife", "They'll pollute workplaces, threaten the existence of others<br>and destroy relations its all they know how to do without<br>CONSEQURNCES", "Black people music always has that awful little tstsststssts-<br>tss sound it really bothers me.", "Making my buddy cry !! Bitch wait for revenge \ud83e\udd17\ud83d\udc4c\ud83c\udffb", "A nation with a large part of the population living in #fear<br>of the police is neither #great nor #free  - it's actually a<br>#fascist  nation", "@user there is no room for jokes in hockey! This is a<br>serious business where we made up teams to fill out the<br>tournament!", "You have to find a way to top yourself.", "@user fuming ain't the word", "@user just die depression.", "The point of living, and being an optimist, is to be foolish<br>enough to believe the best is yet to come' - Peter Ustinov<br>#optimism #quote", "is it bad that kurt is literally me..? #glee", "@user growl!!!", "The #World and it's communities and #leaders are #laughing<br>at #America as #trump #destroys #America with his #nonstopli-<br>es &amp; #racism #hatred.", "@user Sorry to burst your bubble, but opposition research is<br>part of every political campaign.  Doesn't matter where it<br>comes from.", "@user @user good thing the FBI didn't offend them!", "@user oh ok, yeah I felt dumb like I think I would have<br>known if it was animated at least lmao", "@user unfortunately the diet is still on, so they will have<br>to wait till Friday I'm afraid.", "#RIPKara i could have seen her at a local mall or any school<br>football games. im disheartened", "I hung up on my manager last night \ud83d\ude2d", "@user Not much room in there \ud83d\ude31", "I just remembered I made a presentation of the top 100 male<br>idols out of anger after seeing that siwon was first", "@user homyghad \ud83d\ude22", "@user @user It's no secret: personal dislike of Trump &amp;<br>animosity has always been present..now magnified with<br>bigotry/racism etc.", "'...built in #order to #start #afresh. Such #thoughts caused<br>#energy to #flag, and #people concerned...' (The #City CoA)", "@user @user @user the 'pledge' would have never have to be<br>made if petulant child POStrump didn't threaten to run", "My cell won't hold a charge \ud83d\ude22 #sadness So should I...", "discouraged", "It's finally raining in Ashland, Oregon. We've been parched<br>all summer &amp; fall. The plants &amp; people are<br>rejoicing!", "@user It's buzzing pathetically for sympathy if you let it<br>out it will twirl it's moustache, chuckle and sting you<br>#Psychowasp", "@user Thank you! My first solo run!  #excited #andnervous", "I found #marmite in Australia. `:)", "Does anybody mom annoy them just by talking and she probably<br>not even trying to annoy you \ud83d\ude02", "no offense to those who love k culture, u can love it all<br>you want bbs!! \ud83d\udc96 but i just personally want to get to know<br>my own country's-", "All I want to do is sleep. My dreams are bizarre, but still<br>an escape from my problems. Is this #anxiety, #depression,<br>or both? #tiredoflife", "@user Very thought provoking &amp; leads one to question<br>what really happened.Very sad for all.", "@user oh, sorry if I've discouraged you \ud83d\ude02", "@user @user @user @user so you were owned by losers on<br>Twitter #sad", "@user @user is a #bully worse than #hitler a #demon under<br>#human guise.. its the cause of all #MiddleEast problems!", "Earth's sixth mass extinction event under way, scientists<br>warn **basically  caused by Islamic Muslim terrorism which<br>Obama dem- rats back*", "@user Bholenath ne apna Gussa toh nikaalna hai. Either the<br>government helps take out Terrorism and do HIS work, Or the<br>wrath is on GOVT", "@user Only Indian seems to be afraid of War is @user n like<br>India is for WAR! WAR! WAR! we cry war. #PakistanMustPay", "on July 13th,1989 in #Vienna , #Ghassemlou &amp; his fellows<br>was #terror by the agents of the #Iranian regime\\n#Iran<br>#Terrorism \\n#twitterkurds", "I want to be like Eunice. #relentless", "If a friend lost his/her phone, how long do they have to<br>mourn their lost phones before you ask for their earpiece?", "We get #upset when we are #overlooked for doing things for<br>others, even small things. Imagine how #Jesus feels when he<br>died for our sins.", "although I laugh and I act like a clown beneath this mask I<br>am wearing a frown my tears are falling like rain from the<br>sky", "Not sorry for that burst of anti #Allo spam, fuck any<br>messaging app launching in 2016, without encryption on by<br>default.", "Down to one roll... Wonderful I need more toilet paper.<br>#personalassistant", "Imagine celtic burst the net wae every attempt, but nutt<br>same old dain it hard way usual", "@user  is like the big bully in class ruining everyone's<br>lunch but instead of taking our lunch money they took away<br>family feud", "@user happy birthday :) have a blessed day love from Toronto<br>:) #bday #smile", "I actually hate Vision. Coming over from @user is like<br>moving from Man City to QPR. A league below, past it and<br>clouded in chaos.", "one tweet:\u2018Over the coming weeks we'll be continuing to<br>threaten various bluetick  dipsh**s with imprisonment under<br>a socialist government.\u2019", "Learning how to use twitter #lost", "i think i'll be sad from today until 357632477 years<br>later....im not getting over this sadness", "With only 7 months left until I possess my undergraduate<br>degree, I feel like I can't handle adulthood anymore <br>#nojobsinbiology", "The second type of #anger is named 'settled and deliberate'<br>and is a reaction to perceived deliberate harm or unfair<br>treatment by others.", "@user left wing panic because Hillary is weak and they know<br>it this is a revolution a movement nothings going to help<br>the left TrumpPence", "This has been the most depressing week full of rain ever<br>lol", "her fingers slide along your thighs, caressing the skin<br>before she's leaning down, down, down and the first lick is<br>teasing n playful.", "@user please get Sebstian Gorka off of my tv.  The whole<br>trump admin. needs to stop deflecting by talking about<br>Hillary.  #awful", "@user Ganguly chose? It is Kohli's provocation which<br>compelled Dada to pick that pretentious fuck.", "When someone tells you they're going to 'tear you apart' and<br>all they have to say is 'why are you so tall?' #shocking", "Gahh...BT, in queue for 30 minutes.. Now put through to BT<br>Sport dept to cancel... back in a queue again... #shocking", "World is facing #terrorism. Where #Terrorist's school exist?<br>Who are terrorist's teacher &amp; father. Which is<br>terrorist's motherland?", "@user @user @user @user please. Or you could be clouded by<br>your passion. Emotion leads you from the truth.", "@user there would likely have been signs. But let her<br>grieve. It's not your yen yen yen, after all.", "Walk right through them! See way past them, and don't even<br>hesitate running them over.", "Holding a #grudge is like allowing someone to #live #rent<br>#free in your #head #WednesdayWisdom #MotivationalQuotes", "@user hit the sink with a hammer... sorry, the universal<br>modifier!", "@user #zionist = #terror \\nImagine this kid was a #Palestini-<br>an or #Muslim\\nZionists stealing #innocence of childhood<br>from #Jewish #children", "It's not length, it's A #gnawing #sense of #dread.", "School duties. \ud83d\ude27 good night ppl", "@user Just to help maintain and boost our status as a world<br>class centre for education, culture and tolerance.", "I'm sorry. Im much more interested in the #BachelorInParadis-<br>e rose ceremony than whatever @user has. #seriously", "@user U make my heart flutter", "Need advice on how to get out of this rut!!!!  #needmotivati-<br>on", "@user @user @user Still spreading the lies that Clinton<br>allowed something like it was her sole decision. #sad", "Sam all she fuckin said was about you meeting her rents on<br>Friday which WAS GOING TO HAPPEN ANYWAY YOU DICK #cbb<br>#cbbfinal #arsehole", "@user I remember when Ron Reagan said tear down that wall. <br>Trump is so afraid of 'others' he obviously doesn't feel<br>safe.", "Why does @user have to come to Glasgow on a night I am<br>working. I am fucking gutted, been waiting for an appearance<br>for ages", "What do you get when you cross an #apple tree and a #pine<br>tree? \ud83c\udf4e\ud83c\udf32\\nNothing. You can't cross-pollinate #deciduous and<br>#coniferous #trees.", "\u2764\ufe0eI... I can't! I'm scared! Bees terrify me.", "@user @user Naming India Lynchistan is not provocation<br>terror is a provication even when terror has no religion.", "huddling before flames\\ndon't let poetry scare you\\nproducti-<br>on is wild\\n#haiku", "I start work tmrw yall, i'm nervous lol", "I thought the eclipse would make it not so damn hot outside<br>today #disappointment", "'Suddenly I can do so much, &amp; it feels like my brother<br>was holding my back in a way, &amp; that feels like a<br>horrible thing to say' #InsightSBS", "Why to have vanity sizes?Now sizes S,XS(evenXXS sometimes)<br>are too big, WTF?! Dear corporate jerks, Lithuania didn't<br>need this. #rant #angry", "As I remember and reflect on Reginald Denny on a night much<br>like this (like #Charlotte) I think to myself, the gun lobby<br>must be rejoicing.", "@user tells me my order will ship on Sept 12, arriving by<br>Sept 19. Today is the 22. \ud83d\ude10 #lies #terrible #whereismyfurnit-<br>ure", "@user PS: I still think your broken leg against Scott<br>Steiner was one of the most horrific injuries I've ever seen<br>in the ring #ccot", "@user @user Amal Clooney should try to prosecute  #Bush/<br>#Blair for #war crimes that turned our World upside<br>down&amp;created", "Good morning chirpy #SpringEquinox and your pensive sister<br>#AutumnEquinox A perfect day however it is expressed \ud83c\udf39\ud83c\udf41\ud83c\udf13\u262f\ufe0f<br>#theBeautyofBalance", "@user sadly there is constitutional RIGHT to have abortion.<br>Yet there is constitutional RIGHT to life. Safety net<br>protects those rights", "We stayed up all night long\\nMade our drinks too strong\\nFee-<br>ling ten feet tall\\nRopes swinging into the water\\nIn the<br>middle of the night", "matt and i just did a psychological study on provocation in<br>abusive relationships.", "ethan was with someone in the car when he did his revenge on<br>grayson", "#Being a #terrible #mother makes me uncomfortable.", "@user people have so much negativity filled inside them but<br>im always happy that in such a gloomy world someone like u<br>exists Namjoon", "I keep asking myself why I'm constantly drawing Teo w a<br>frown but then I just remember what's going on and I<br>immediately understand", "np rum rage", "What a fucking muppet.  @user  #stalker.", "Hope I sleep - no nightmare of Bakewell tarts #yuk<br>#revolting #GBBO", "Mou is too jovial and trying to impress those players too<br>much. No player is bigger than manutd. SAF won't tolerate<br>all this bs @user", "In addition to fiction, wish me luck on my research paper<br>this semester. 15-20 pages, oh boy.", "It's about time I start taking my own advice", "@user Hope they refuse :( x #depressing", "&gt;.&lt; too much clutter in my brain with recent little<br>changes that I haven't yet processed... #dying #panic<br>#IveBeenBusierWhyAmIOverwhelmed :(", "The Zika #Hoax Files: DEET is part of a binary chemical<br>weapon targeting your brain: #Toxin #fear #neurological<br>#USCitizens #Insect #mammal", "#note8 #animated said pen. Amazing. Wife loves this one", "When you watch @user #MainEvent and play a small tourn. in<br>your local \ud83c\udde6\ud83c\uddf9 cardroom. #limpedpot #familypot #horrible<br>#polkish", "I cannot see a rational way of bearing a grudge to him for<br>that. I do not. Maybe because I do not live by Netflix and I<br>do not care...", "I hope you smiling and just laughing your soul out @user . I<br>love you so much.. My Person\\n                 \ud83d\ude18\ud83d\ude18\ud83d\ude18\ud83d\ude18\\n       <br>\ud83d\ude18\ud83d\ude18\ud83d\ude18\ud83d\ude18", "Every time I fart my dog jumps in fear hahahaha yass", "I feel so intimidated talking to chicken now that I know how<br>pretty she is", "@user It's #adorable #mnuchinwife thinks she's on a<br>#government mission. #louiselinton", "@user OMG poor you! It happened to me last summer. I saw my<br>under skin \ud83d\ude30", "'....trying to work out how a band featuring Corin Tucker<br>and Peter Buck (REM) could be so bad.' WAAHHHHH @user <br>#devastated", "'She trapped me, but I love her' #insecure #killingme @user", "We express our deep concern about the suspension of   @user <br>please reactivate it. he never violated T.roles @user", "@user I remember being awestruck looking around thinking,<br>'You could fit the entire population of our town in here ten<br>times over.'", "A good head and a good heart are always a formidable<br>combination. (Nelson Mandela)", "kenny - where were you born\\nme - washington\\nkenny - you<br>fucking liar you were born in the fiery pits of hell", "@user Always saddens me when marriage doesn't work. It's<br>never helps when people get involved and start twisting<br>things too..", "Don't be light and dark, night and day, smile and cry, \u2015\u2015you<br>and me.", "So drunk me hid my keys very well sober me couldn't find it<br>anywhere", "@user Yeah, but bad part is the #terrorism #terror Muslims<br>won't be the ones leaving #ObamaLegacy #nationalsecurity<br>#disaster #Obama", "@user  how on earth can I send an email to you? Very annoyed<br>customer!!!", "@user optimism is he'll lose, that's actually a compromise<br>:P", "@user @user @user I bet he needed to take an anime break and<br>drink a Zima after all the furious typing.", "@user Happy US Publication day Riley!! So excited for you<br>and for everyone who is yet to read the amazing #FinalGirls<br>#TwoDaysFor\ud83c\uddec\ud83c\udde7", "Update: I have yet to hang out with @user but I'm still<br>hopeful! #optimism", "what will we do when #GoTS7 is over? im starting acknowledgi-<br>ng  #endoftheworld #GameOfThrones #dontleaveusjustyet", "Why is it that we rejoice at a birth and grieve at a<br>funeral? It is because we are not the person involved. \u2015<br>Mark Twain", "What's wrong is always available so is what's right, you<br>decide on what to focus. #success", "@user @user @user @user so you were owned by losers on<br>Twitter", "You know, you're pro-actively playful. You want to press<br>your boobs into my face, Tatenashi. I'm not saying no,<br>though. =3", "My boss likes to stand in my office &amp; smile at me like a<br>shark: maliciously gleeful, and ask me how am I as if I have<br>a secret to tell her.", "@user @user all the bully", "Never make a #decision when you're #angry and never make a<br>#promise when you're . #wisewords", "@user This is a deliberate act of provocation. AKP<br>announcing their intention to abolish TSK, which has been<br>their goal since day one.", "If the blues were whiskey , I'd stay drunk all the time", "@user @user lmao awe...  #sad", "@user #Strongwomen terrify #weakmen - don't let the #bully<br>wear you down. Loving your consistency and truth in rough<br>times Hang in there \u2764\ufe0f", "#dull start", "Happy birthday to Stephen King, a man responsible for some<br>of the best horror of the past 40 years... and a whole bunch<br>of the worst.", "Having holiday blues! #WantToGoBackToMinehead.", "@user and @user 'Being over it.' Why USA has #panicattacks<br>#anxiety #depression and so much medication!", "is it bad that kurt is literally me..?", "@user Omg you're savage prof, this is hilarious \ud83e\udd23\ud83e\udd23", "I like the commercial where @user on a chocolate milk<br>bender, steals a soccer ball from some guys and refuses to<br>give it back. #bully", "Just love Matthew Parris! Political rage is good!", "@user I am shy xD", "@user @user @user watching the #totalsolareclipse on ur<br>channels right now #amazing what's happening in the #usa", "An @user kind of drive home from work today  #dailyfeels", "Love takes off the masks that we fear we cannot live without<br>and know we cannot live within. - James A. Baldwin", "My neck still hurting though... \ud83d\ude25", "Going home is depressing", "It was very hard to stifle my laughter after I overheard<br>this comment. It really is amazing in the worst ways.", "Life is too short so dont shoot it in with worries sadness<br>and grief.", "Fuck me....what the fuuuuuuuck did I just watch?!?!<br>#STAGESCHOOL is awful.....no that flatters it!! #shocking<br>\ud83d\ude2e\ud83d\udc4e", "Yes #depression &amp; #anxiety are real but so is bein<br>#grateful &amp; #happiness \\nI choose how i wanna live MY<br>life not some disorder", "People you need to look up the definition of protest. What<br>you are doing is not protesting is called vandalism.  #stop", "People need a way to escape,escape what?This corrupted<br>world.This reality. This joke.This fury of constant pain<br>&amp; stress.We need a vacation", "The new @user song is mega \ud83d\udca5 reminds me of @user #blues", "From harboring Osama bin Laden to its relationship with<br>Haqqani network, there is enough evidence to prove Pakistan<br>is sponsoring terrorism", "I was taught, there's nothing out there to #fear; just go<br>out there turn #dreams into #reality, use other people fears<br>to your advantage.", "@user @user this individual is clearly trying 2 #intimidate<br>this #LEO I see an issue here. STOP CAUSING ISSUES by<br>pushing limits!!", "Wishing i was rich so i didnt have to get up this morning<br>#poor #sleepy  #sad #needsmoresleep", "I was not made for this world. #empath #unhappy", "@user I'm so serious DM me I'll tell u more", "Happy Birthday @user  #cheerchick #jeep #jeepgirl #IDriveAJe-<br>ep #jeepjeep #Cheer", "@user @user Did you see it?  It's literally all porn.  Does<br>she really work for huff post?", "Dad asked if I was too hungover to function today. Little<br>does he know I stayed sober last night so i could get shit<br>faced tonight \ud83d\ude05", "I should've stayed in bed.", "@user @user You are a man after God's heart and I am proud<br>that you are my president.  #BlessedAndGrateful #awesomenes-<br>s", "Inquiries into alleged abuses by UK troops in Afghanistan<br>and Iraq and data suggesting a buoyant post-Brexit economy<br>makes the front pages.", "Fed up of smiling at old people and getting dirty looks in<br>return. Go fuck yourself Mildred you miserable prick", "Always do sober what you said you'd do drunk. That will<br>teach you to keep your mouth shut. \\n\u2015 Ernest Hemingway<br>#quote", "@user @user @user @user @user terrorist attack and terrorism<br>already exists in the history of islam.", "So depressing that it's darker so much earlier now", "I believe women are more fiery because once a month they go<br>through struggle and struggle is what develops a strong<br>character.", "Poetry of love \u2764\ufe0f #.I love you from my heart # I love you<br>from my soul # I love you real # you are in my all things<br>what can I do I'm shy oo", "Historically Japanese have always been into #jazz and<br>#blues. The 70s dark age of jazz big names like C.C. &amp;<br>M.D. were surviving on Tokyo.", "It is important to seek peace, even in the midst of a<br>horrific war #CreateSyria  @user #TalkingPeace #buildingpeac-<br>e", "Somebody called y'all president a fucknugget \ud83d\ude02\ud83d\ude02 idk what<br>that is but it was the laugh I needed this morning \ud83d\ude2d", "I'm not use to getting up early asf this shit goin irritate<br>me.", "I always thought I was too empathetic but it's becoming<br>clear that the majority of you guys are plain insensitive to<br>an alarming degree", "Gorkas is angrily unhinged, &amp;lecturing CNN on what?they<br>should cover demanding they go after Hillary Clinton instead<br>of Trump.", "sometimes I think I'm just #afraid as a person", "I am about to be a coward and I feel terrible. But I can't<br>even face this \ud83d\ude2d", "And the idiots are still gobbing their ridiculous garbage<br>with no better brain it's all they do: the relentless<br>braindead garbage gobbers", "Trying not to be annoyed but I keep getting told I'm on<br>lists for things and then everyone's on the list except for<br>me \ud83d\ude1e", "@user sorry to upset u madam.If you have got any queries<br>don't hesitate to contact our PR department.In the meantime<br>do you fancy a beer?", "@user @user The left is sooo rabid for something of<br>substance; yet they are forced to feed off innuendo and<br>smearing", "Professor: introduce yourselves and say one interesting<br>fact\\n\\nHi I'm Ethan and the Sun will engulf our planet in a<br>fiery explosion one day", "Williams Lake on evacuation alert as fires rage near the<br>city of 10,000+. Developments from overnight + forecast -<br>5am @user", "The use of violence, threat of violence and intimidation<br>just tag zany pf. Very good at it.", "@user  #UNGA no talks should be carried out with Pakistan<br>now ... His mouth stinks of #terrorism #UriAttack", "@user yeah a terror packed terror supported speech..", "@user Just what in the hell is that supposed to mean?<br>#offended j/k :cD", "Defining yourself in terms of opposition, i.e. the clouded<br>mirror phenomena, is almost always a mistake.", "I swear if @user blocks me I'm going to hit her back", "Huns are like a box of coffee revels #horrible", "#IndiaMissingIndira that she could never solve Kashmir<br>Problem and kept it burning for Vote Bank\\n#TerrorStatePak", "@user , just saw the Save The Day PSA. Why were you in<br>obvious tears doing it? I'd have thought you'd be your<br>cheerful self.", "It takes a man to suffer ignorance and smile. Be yourself,<br>no matter what they say. #sting", "I don't talk about politics because people nowadays get<br>offended easily!", "when people hit on me i try to shake them off by talking<br>about how i hide from communism", "@user I wouldn't fret. There's too many opportunities in<br>life to worry about one not working out.", "I ain't had a gold heart on snap chat in so long. \ud83d\ude10<br>#depressing", "And im not even going to get into how its discriminatory to<br>several religions which mandate its followers to let their<br>hair dread.", "She is someone who rolls persuasion under intimidate and<br>awkwardly wins. ALL THE TIME.' @user on @user", "i haven't had to speak maltese in over two years and now<br>have relatives calling me about the trip and it's terrible<br>\ud83d\ude43", "This officer is a hero! \ud83d\udc4f #dogs_of_instagram #adorable<br>#doglovers", "Point scorning and fury at Labor does nothing to address<br>long term detention and the need to resettle #asylumseekers<br>from #manus and #Nauru", "Radio shake mutli directional mike it might sound cheap but<br>the sound wasn't that bad and you could do some mixing.", "If you think reason will prevail in this election remember<br>that Hitler was elected by what was then a wholly 'reasonabl-<br>e' society.", "Multitasking .... I may have to induce these seeds of mine<br>to sleep. #restless", "@user AP didn't have a productive week 1 or 1st half against<br>GB and Kalil is horrible! @user D is its strongest asset<br>currently.", "$SRPT Why would Etep patients &amp; Mom's advocate for a<br>drug if it did not work? Anyone listen to the Etep MD's @<br>Adcomm.. all were elated.", "When we are weak &amp; in despair, our Mighty God is near;He<br>will give us strength &amp; joy &amp; hope, &amp; calm our<br>inner fear, just have faith &amp; trust.", "Always borrow money from a pessimist; he doesn't expect to<br>be paid back.", "... flat party and I instantly get bollocked about it.<br>#fuming", "Oi @user you've absolutely fucking killed me.. 30 mins later<br>im still crying with laughter.. Grindah.. Grindah... \ud83e\udd13 <br>hahahahahahaha", ".@DIVAmagazine than straight people. Even the arse straight<br>guys who think that means a threesome is fine. #angry<br>#fuming", "@user @user No grudge. Only truth in abundance.", "@user @user Trump is now fuming.  He feels the whole game<br>may now be blown because of Jr's stupidity.", "We ashamed of being an ally to you. Pakistan sacrificed<br>almost 50000 civilians by siding you in war on #terror<br>@user", "'The prayer of the feeblest saint is a terror to Satan.'\\n(O-<br>swald Chambers)", "#NawazSharif says India poses unacceptable conditions to<br>dialogue.#India's only condition is an end to #terrorism.<br>:@MEAIndia", "@user 'Just by getting lost! I don't want to see you in my<br>eyes!' Hungary huffed and crossed her arms, looking away<br>angrily.", "When one door closes another one opens #opportunity #growth<br>#optimism", "@user I was like that when I started college. It was<br>horrific but it probably will get better. Don't give up yet", "I think that Nuclear weapon and Cyber weapon are big<br>threats, but I think that the bigger threat is Scalar weapon<br>...\\n#scalar #threat", "@user : Thank you so much, Gloria! You're so sweet, and<br>thoughtful! You just made my day more joyful! I love you<br>too! \ud83d\ude0a\ud83d\udc95", "@user Maybe this was a test... to see if 100% of readers<br>need interpreters - apparently they do #offended #rude<br>#disgusted", "ha \ud83d\ude43 ha \ud83d\ude43 i just realised that i've never actually been to<br>therapy and i still don't know if i'm depressed or just sad<br>all the time", "@user *Baal dashed forward, boosted forward by her power of<br>flight. Her sword pointed at Void, meant to stop just short<br>of her--", "The kid at the pool yelling is about to get a foot up his<br>ass. #shutup #parents #kids", "False alarm, she's not coming out today \ud83d\ude1e", "I think they may be", "@user and I have discovered you can now send animated gifs<br>over the updated iMessage", "@user @user @user Tamra would F her up if she swung on<br>Tamra\\nKelly is a piece of \ud83d\udca9 #needstobeadmitted #bully", "also, been kind of silent on s11 of the x-files because i am<br>terrified that CC is going to screw it up! actually i know<br>he will... #dreading", "Seeing #RIPShawtyLo got me thinking bout other rappers then<br>I thought about @user dying, and burst into tears... Smh", "My 2 teens sons just left in the car to get haircuts. I'm<br>praying up a storm that they make it home safely!! #sad<br>#TerenceCrutcher", "@user promised I wouldn't live tweet, but  @user + @user<br>brought it! @user and #furious action FTW!", "don't give someone power by letting their words offend you", "I love Mary's undying optimism. You could present her with<br>dog shite and she'd find something good to say. #GBBO", "630am meeting Olympic House #10golds24 .  #relentless<br>#neverquit #believe #dreambig #TeamTTO #going4gold", "A country that gave safe house to #Osama Bin #Laden is<br>dangerous if not contained. #Pakistan is a #terror heaven,<br>declare so @user", "For every dark night\ud83c\udf11, there's a brighter day\ud83c\udf1e.", "@user I know if I wasn't an optimist I would despair.", "India should now react to the uri attack.....", "but throughout that entire thing I was shaking rlly bad and<br>my heart was racing and I was almost in tears lmao (thanks<br>mr.*****)", "Dropped my phone in the sink earlier.No sound, but everythin<br>else works.Prepared myself for life without music until I<br>put my earphones in", "@user Some jurono play very smart dont support truth but<br>give opinion in a way tht ensures  government dont feel<br>offended", "Fucking hell. Rush for the damn train also no use. Fucking<br>4min wait. Still sweating. #rage #smrtruinslives", "Anytime @user gets near a mic, someone needs to smack him w<br>a bat. @user  #marblesinmouth", "@user ...I'm waiting for you to figure out I'm like... from<br>0 to 100 real quick with the irritation.", "When you have 15 doe run the opposite side of you \ud83d\ude41", "#Two legged stool sample... #humor #serious #comedy", "Are you #serious that #fredsirieix lives in Peckham......Sou-<br>th London's own #Love Guru(big up)", "Unmatched Party Specialist /co @user #serious #job #titles", "and every time i cry hard, fear blankets me", "@user yeah whatever, whahibbi are #muslims just a sect, as<br>you know,  #islam is synonymous with #rape and", "Pro Tip: Go back to work when your kid reaches 20 mos old. <br>Stay home any longer, and you'll be absolutely miserable<br>with the #tantrums.", "We have a GLOBAL problem: Illicit trade in #tobacco products<br>presents a serious #threat to public #health. #UNTobaccocont-<br>rol @user", "I look #horrible today and I just saw 6 people ik in the<br>past 10 min :-)", "@user @user I've got #teampaella presents on their way for<br>you and Fi but I don't think they'll arrive by Saturday<br>sadly!! ;)", "Thought It was a joke so sad anyway #biwott", "@user @user specific &amp; intentional way. And part of that<br>intention is to provoke conversation around systemic racism<br>towards blacks.", "If you let a general tweet offend you, you definitely<br>shouldn't be on twitter.", "Riggs dumb ass hell lolol #hilarious #LethalWeapon", "Yet again another night I should've stayed in\ud83d\ude0a", "Fingers crossed I can finish all my work early enough this<br>Friday in time to catch @user at LIB \ud83d\ude26 #nervous #timetogrin-<br>d", "What a sad evening - clearing out all of Harvey's cage and<br>belongings. Now so final. Goodbye my little man....<br>#depressing", "@user I'd just whip up a cake batter or cookies &amp; throw<br>it in \ud83d\ude00 bakewell, frangipani is made with almonds", "Light of day per heyday popularization backfire cinematograp-<br>hy: XUcQb", "I'm so angry", "A night where depression is winning... #depression #fml<br>#help", "There is something v satisfying about  opening an old 'to<br>do'.doc file and being able to check off all the things you<br>have done", "One day someone will change ur perspective from bitter to<br>sweet from broken to complete", "when u havent learned to swim \ud83e\udd14 but you keep working out so<br>you're denser and less buoyant \ud83d\ude1e but swimming is scary \ud83e\udd14 but<br>also u cant swim \ud83d\ude1e", "Just joined #pottermore and was sorted into HUFFLEPUFF \ud83d\ude21\ud83d\ude21\ud83d\ude21<br>#fuming", "When will the weeks full of Mondays end??", "Biggest #THREAT 2 #GLOBAL #STABILITY? #climatechange #food<br>#water #security #terrorism #russia #war #trump #clinton<br>#geopolitics #korea $vwo", ",, The solar eclipse was really cool.. #inspiring!", "This time tomorrow I'll be at the airport for the first trek<br>of my journey to America \ud83d\udc40  #alone", "I need to stop second guess myself and just go with the<br>first thought and go with it. #relentless", "Unrelated: when I see the words cr\u00e8me fra\u00eeche, I think of<br>that South Park episode of Randy's obsession with the Food<br>Network. \ud83d\ude03", "it's so breezy out today, i can't go to back to school night<br>with bare legs like i've had all day", "When you wake up from a dream laughing at something stupid,<br>and that makes you laugh more #hilarious", "God's help for Israel in Isaiah 41:10, is for u today. Don\u2019t<br>be afraid or discouraged, He's ur God who will strengthen,<br>help &amp; hold u up.", "@user He has charisma? I guess, if you like people who<br>looked coked out and speak as if they're a school bully?", "@user I've contacted @user @user  #service #whathappenedtocu-<br>stomerservice", "@user The depth that you've sunk to. You're readership<br>deserves more.", "#Media will debate, politicians will blame each other, on<br>the ground it feels amply clear #India stands defeated<br>against #terror. #Breaking", "this weather = my mood \u2614 #miserable", "I have sleep cooties.\\nI close my eyes and dream that I'm<br>awake #weary #sleepissues #narcolepsy", "It was an #amazing #start to the first #fall  day. Will it<br>be an #Indiansummer", "Trump supports reach another level of irritation within me", "Odd watching #Antifa extremists going full spectrum to<br>become Fascists\\n\\n#Violence #Hate #angry #Clueless #YOUTH<br>in mom's #basement come out", "I'm done with your piano, blues playing, smooth talking ass.<br>On to the nexttt", "your outrage (your tweets, your jokes, your attention) is<br>*exactly* what M*lo wants\\n\\n(this is not meant as a<br>defense)", "@user I would have almost took offense to this if I actually<br>snapped you", "Is it terrorism to intimidate a populace? What case held<br>'coercion by people in uniform is per se intimidation'?", "The one most important thing we forget. That we need to<br>denounce terrorism, not stoke communalism  #AmarnathTerrorAt-<br>tack", "if you're unhappy with someone just fucking tell them you're<br>unhappy and leave. Don't go fuckin around with other people<br>on the side", "I hate you.\\nI want to know how you feel about me though.<br>Because I want you to like me so I can break you.\\n#darkersi-<br>de #revenge #wasteoftime", "Now that @user has snapchat back it's a constant battle to<br>see who can get the ugliest snap of one another \ud83d\ude02\ud83d\ude43 #snap<br>survival", "Happy Birthday @user #cheer #cheerchick #jeep #jeepgirl<br>#IDriveAJeep #jeepjeep #Cheer", "I keep getting so worried about the amount of plastic that<br>gets thrown away atm as if I didn't panic enough about the<br>environment already :)", "Hello puss! Puss puss puss! Don't be afraid!", "I honestly feel nothing towards either of my parents and<br>it's pretty depressing", "faint glimpse of the circling stars. Presently, as I went<br>on, still gaining velocity, the palpitation of night and day<br>merged into one", "@user all of this!If the GOP continues to back this mob<br>connected man you will have tremendous regret in 2018 the<br>voters will make sure", "When you break a record in #madden I wish it didn't say the<br>same shit after every rush like you just broke the record.<br>#shutupphilsimms", "@user the emoji movie doesnt have a midnight premiere where<br>i live this is an attack #EmojiMovie #midnightpremeire<br>#outrage", "@user leave it kanna. same thing happened after Uri too.<br>outrage and outrage until Sept 30. anyways re.. will be out<br>today too.", "@user Fuck off. Enough of this fake solidarity. #NotInMyName<br>was a rabid #Hinduphobic campaign. Stop giving them<br>legitimacy.", "two major banking stocks down almost 15 to 20 % from their<br>highs while benchmarks still close to top it is a sure<br>#worry for markets", "@user you sir are hilarious", "Step out of your comfort zone. \\nGo for risks.\\nFace things<br>you fear. \\n\\nThis is when life starts to happen.\\n\\n#cpd", "Thousands of pickled dunder-headed anthracites ! #furious", "@user : We need more mutual #trust to increase #security<br>&amp; fight #terrorism &amp; #radicalization in Europe<br>#osce17AUT #Diplomacy140", "@user #Women#Powerful#Sentiment\\nChibok is NIGERIA #concern", "Hell hath no fury like a bureaucrat scorned. \u2015 Milton<br>Friedman", "@user @user Please. Don't insult Goths.", "@user I'd say your outrage is the really FAUX outrage.", "The most important characteristic of leadership is the lack<br>of . #activism #equity #revolution", "Why doesn't anybody I know watch penny dreadful? \u2639\ufe0f\ufe0f", "New #madden franchise league on XB1 coming soon Follow &amp;<br>DM if interested full 32 team league 1st 5 help decide rules<br>&amp; rosters", "in love with @user  insta!!!...", "I forgive everyone. It's rare for me to hold a grudge.", "@user beyond a joke! So #furious right now you have left my<br>niece, sister and brother inlaw completely in the dark! Crap<br>customer service", "#AmarnathTerrorAttack saddened to hear this ....need to take<br>strict action against #terrorism ...", "@user @user There might be a spec of hope at the end of this<br>horrific tunnel", "IK to PMLN: 'Darling, I will haunt you in your nightmares,<br>dressed like a dream.' BEST THING EVER. #GameOverNawaz", "#blackish always has me #rollin #hilarious", "@user both are nonsensical. If there's injustice against<br>blacks, why add to it by destroying black property. It's<br>misdirected anger", "Isis was not defeated in #Mosul. It just changed its address<br>to #Libya.  #Egypt #Sinai", "Candice's pout gets more preposterous by the week. This week<br>it's gone a bit Jack Nicholson's Joker. #GBBO", "@user Bloody right #fume", "Ask yourself this:\\nIf the algae appears to be gone, is it<br>really?\\nIs it worth the risk?\\n #algae #water #toxic<br>#threat #methane #cancer", "@user The GOP controls the Senate. Blaming the Dems seems<br>#sad.", "@user You're a POS for rejoicing in someone's death.", "@user my heart just sunk.", "Twitter is a font of endless hilarity.", "Bitch do not offend me.", "The cure for anxiety is an intimate relationship with<br>Christ. - 1 John 4:18 #anxiety", "in my dream....They were trying to steal my kidney!!!<br>#nightmare #blackmarket #whydidiwatchthat", "Adam Sandler is actually super hilarious &amp; all his<br>movies are funny &amp; heartwarming", "@user lol. DK has actually dropped from top of the table,<br>surprisingly Arms Warrior is top of the DPS at the moment<br>#shocking", "Don't be afraid to give up the good to go for the great. -<br>John D. Rockefeller #quote #inspiration #afraid #great<br>#motivation", "@user @user agreed! \ud83d\ude0d an awe to meet such beautiful,<br>powerful animals.", "@user @user We are blaming 5% of the fucking idiots who are<br>putting the World in the middle of their tantrums. You are<br>one.", "@user well be offended then cause im speakin truths here \ud83d\ude1c", "@user The hatred from the Left ought to concern everyone-----<br>who wants a police state-the left, so than can spy on all of<br>us.", "@user @user I'm in tears. This is so heartbreaking \ud83d\ude2d", "@user @user @user Yes, it is bad to point out racism lest it<br>provoke the racists.  Some racists do indeed not like it.", "@user The irony is that those protesting about this kind of<br>stuff are the Orwellian nightmare they think they\u2019re<br>fighting against.", "JaredKushner &amp; IvankaTrump are called senioradvisors,but<br>are more like #caregivers who try to moderate dads outbursts<br>of #narcissistic #rage", "Amateurs sit and wait for inspiration, the rest of us just<br>get up and go to work.' -- Stephen King #authors #serious<br>#writingtip", "#2 complained then while his head and then called do not<br>despair of God's mercy if you did sins go back to him and<br>ask his forgiveness", "@user @user @user @user @user Apparently nothing like the<br>terror cops have of black people.", "Confiaejce comes not from always being right but from not<br>fearing to be wrong.-Peter T. Mcintyre", "New Lyft User? Use code to get credit: INVITES #Hey coupon<br>clippers! #cheery #LyftNOW", "Haven't been on a holiday abroad in two years how depressing<br>is that btw\u2639\ufe0f", "@user can I get away of this wrath by reading manga instead<br>of watching overdone anime", "@user timid but determined version of the rabid beasts<br>beyond the land. Growling beneath my restrained breath, I<br>//rip// myself --", "Chart music is pretty much ALL the same..", "@user @user  horrible experience with a company like this<br>#goldmedal #horrible sales person #wrong commitments#wrongpr-<br>oduct", "Don't faint. New Cisco IOS vulnerabilities were announced<br>yet again. What would be shocking? If they\u2019re patched this<br>week by users.", "#MiamiBryce asks Buck about Dak Prescott live during ASG.<br>And DC sports talk radio producers get to take the rest of<br>the night off. #outrage", "@user A stumbling block to the pessimist is a stepping stone<br>to the optimist.", "@user since when the fuck can you not stand at a concert?", "I went so deep into my thoughts that I started shaking. I<br>real deal upset myself to that point of anxiousness.", "also i had an awful nightmare involving being sick where<br>worms were involved i was so disgusted when i woke up", "@user @user Agree with @user or you are of a lower<br>intelligence would be your message there then? #dreadful", "Idk why tiff always have a 6:30 am alarm that rings everyday<br>for", "@user A plus point, she won't have to queue for the loos.<br>Any more plus points? Nope, can't think of any  #sexism", "@user I agree. Btw, have u seen Ep22, Granger, O?  That was<br>the episode when I knew Anna was coming back, the conversati-<br>on at start.", "@user i know i don't know u, but physiatrists are seriously<br>the number one best thing for people with anxiety.", "@user @user @user yes exactly &amp; he's sold out this<br>country to #terror while #lying to cover it up", "I respect facebook and them killing Snapchat. If you can't<br>buy em, beat em #fb", "#Pakistan is \u2018terrorist state\u2019, carries out #war crimes:<br>#India to @user #UNGA  #UN", "whats with these boxes when i search google on chrome <br>#distracting", "The people that call in to POV on KX4 make my night.", "Don't ever grow weary doing good....Don't just see the<br>headlines; look at the trend lines for hope.' @user<br>#CGI2016", "@user Happy #blissful birthday", "Are you worrying/worried?\\n1Peter 5:7\\nThrow all your worry<br>on him, because he cares for you.#faith #leadership #worry<br>#mindfulness #success", "i resent biting my tongue.", "TheNiceBot: WSJNordics You make the world a more joyful<br>place. #TheNiceBot #\u0627\u0644\u062e\u0641\u062c\u064a", "@user don't worry we will take revenge u plan to run naked<br>first .. when r u doing it ... We are showing ur hypocrisy", "Yo,if you're talking about horoscopes do you really have any<br>clue as to what you're saying or are you gonna act offended<br>when I question it?", "@user - as CEO of a charity you could reasonably expect<br>@user not to attempt to crudely inflame tensions.", "Cream tea @user #delicious", "@user @user Prudence suggests that a 8+% bump over 2-3 weeks<br>should be viewed with SKEPTICISM. Media/HRC axis #angry", "Idiot, @user says dumb stuff about his idiot son.  #shocking<br>#TheAppleDoesntFallFarFromTheTree", "@user ummm, the blog says 'with Simon Stehr faking<br>7th'...I'll expect an investigation forthwith. This is an", "You can't fight the elephants until you have wrestled the<br>pigs. #quoteoftheday #relentless", "- blood and mucus and he chokes and has to swallow, mirth<br>cut too short. 'Wrong answer.' It takes some awkward<br>movements - @user", "Can we get a shot of Lingys face at 1/4 time ? Pretty sure<br>it would be more red then his hair #fuming #pretendinghesok<br>#ruok #AFLCatsSwans", "@user @user I'd rather leave my child with @user #shudder", "White Americans are worried about Arab terrorists. Black<br>Americans are fearful of a terrorist in a Police uniform on<br>a daily basis.", "I hate freaking out and ruining things. #anxiety", "@user #heyday Race war 2016", "Cuz even the bible talks about the son coming back with a<br>fiery sword he got from his mother. They just called her a<br>whore in revelations", "One of those days. #Mentalhealth #Anxiety #agoraphobia<br>#panic #depression #OCD", "@user Im terrific thanks.\\nI hope you managed to get even if<br>it's just 40 winks of \ud83d\ude34. It was a crushing defeat. He was so<br>dejected", "@user #colinkaepernick protests because of the unjust murder<br>of #keithlamontscott in North Carolina #injustice #outrage<br>#speakout", "@user but your pussy was weak from what I heard so stfu up<br>to me bitch . You got to threaten him that your pregnant .", "Today marks seven years since the Kyadondo terrorist attack<br>where many lost loved ones. We mourn &amp; pray they<br>continue resting in peace. 7/11", "World wants #peace from #terrorism #WorldPeaceDay #internati-<br>onaldayofpeace", "How's the new #BatmanTelltaleSeries? Looks good but I'm<br>growing weary of this #gaming style... #Batman", "Q&amp;A with N. Christie @user fr. @user What would Peter<br>and Dardanella think of us knowing? #poorthings", "#NewYork: Several #Baloch &amp; Indian activists hold<br>demonstrations outside @user headquarters demanding Pak to<br>stop exporting #terror into India", "@user there was a US diver named steele johnson. i'd like<br>him barred from the olympics.", "BUT, I have offended so many people with the idea that<br>conflicts and value judgments are separate that we need to<br>have a talk.", "Let's refuse to live in #fear - #sotoventures", "Hate when guys cant control their anger \ud83d\ude43\ud83d\ude43", "Leave it on there, rule,nimber 1 of carpet cleaning!!!<br>#furious #worsethananatomicbomb #accidentlyspillbeeronthecar-<br>pet", "All I want to do is watch some netflix but I am stuck here<br>in class. #depressing", "@user @user an 'Honorable Senator' cheering when a cease<br>fire does not hold! PEOPLE DIE AND YOU CHEER! GENOCIDE<br>SUPPORT NOT GOOD!", "Because it was a perfect illusion, but at least now I know<br>what it was. #angry #ladygaga #iscalming#mysoul", "@user  regardless, lets say he has a permit. The permit<br>doesn't excuse or allow him to threaten an officer(expressed<br>or implied)w/ it.", "@user @user @user I threaten you because I can pussy", "Just had to reverse half way up the woods to collect the dog<br>n I've never even reverse parked in my life \ud83d\ude44", "@user &amp; @user THANK YOU for the retweets. Much<br>#appreciated!!! #horror #monsters #MonsterBrawl @user", "@user because one of the main symptoms is restlessness and<br>it could explain why he isn't able to sleep/might not want<br>to", "gloomy weather puts me in the best mood"], "x": {"dtype": "float64", "shape": [852]}, "y": {"dtype": "float64", "shape": [852]}, "type": "scatter", "uid": "36524bb0-088b-4142-bfa9-18bd8b73e469"}, {"hovertemplate": "<b>Fluency</b>: %{x}<br><b>Formality</b>: %{y}<br><b>text</b>: %{text}<br><b>Annotated</b>: False", "marker": {"color": "red", "line": {"color": "black", "width": 1}, "size": 10, "symbol": "x"}, "mode": "markers", "name": "Not Annotated Samples", "opacity": 0.5, "text": ["@user \u2190would furrow and her face would redden as she<br>protests; it would seem that being seen as unattractive in<br>Wukong's eyes was\u2192", "Did we miss the fact that #BurkeRamsey swung &amp;hit his<br>sister #JonBenet in the face with a golf club previously out<br>of a fit of ?", "I don't want perfect. It's too boring and dull.", "@user and @user are talking about #depression today! What's<br>trending in your community?", "I'm blessed with a wonderful older sister I'm so happy", "Trying to think positive, and not let this situation<br>discourage me \u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728-<br>\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728\u2728", "Article 370 must be abolished. Human rights must be denied<br>to these NGOs, Separatist n terrorists who advocate peace n<br>terrorism. @user", "Candice's pout is gonna take someone eye out mate! #GBBO", "Can't pretend that I was perfect leaving you in fear<br>#revenge \ud83d\udd25\ud83d\udd25\ud83d\udd25", "ain't no sunshine when she's away \u266b", "This rain had me dancing in the street #rejoice #rejoice<br>#thetimeofgreatsorrowisover", "Good morning! Welcome the new day into your life and your<br>heart #mindfulness #smile #zen", "a #monster is only a #monster if you view him through #fear", "@user Genuine refugees are terrified of authority figures.<br>They wouldn't provoke them like this mob.", "I'll happily be rude to people who personally insult me<br>unprovoked, they deserve it \ud83d\udc4d Just as good people deserve<br>respect", "how maybe it was with you and your parents..that I would<br>understand you and your fear of indifference from your own<br>mom and dad..", "Think of the amount of hatred necessary to commit this type<br>of crime-it should be a capital offense.No bail.Laws were<br>meant to protect.", "big over sized clothes, hours of use for bad haircut, \ud83d\ude0a real<br>big rage #\ud83c\udf51", "House sitting for MIL. Feeding baby @ 3.45 and cat starts<br>scratching at door. Mummy now needs a nappy :S #terrified<br>#NeverAgain #nope", "Tweeting from the sporadic wifi on the tube", "Just reached 10k followers - WOW - thanks blues #mcfc #ctid", "Val downing a bottle of vodka there to stop her from<br>shaking! #GBBO", "@user @user :^) well cucks among her ranks agree equally<br>about their outrage of black youths shot and harambe.", "@user \\nIf this room was burning \ud83d\udd25", "@user brings back great memories of hilarity on #SATURDAYNIG-<br>HTLIVE", "@user wallah my blood is boiling I need to take a nap ugh", "@user I nearly started crying and having a full on panic<br>attack after tatinof bc of the crowds so I feel him", "Who also miss glee ? #gleek #glee #GleeForever #DreamsComeTr-<br>ue #dontstopbelieving #gleecast @user", "@user he is.\\nSure his mind was clouded but...]", "Even the devil was once an Angel. #TuesdayThoughts #change<br>#think #devil #Angels #anxiety #WordsOfWisdom", "Biggest joke in life? Kardashian and Jenner stans. Their<br>lives are so dull, parents must be so proud.", "These guys really out here disrespecting women while their<br>moms still be doing their laundry. \ud83e\udd23", "@user OMG! Are you kidding me with this? I thought Pence was<br>bad but they had to go even farther!", "im so tired but i still have thisbhuge history test in a few<br>minutes i cant afford to get freaked out now oh god if i<br>have an anxiety attack", "I'm really upset that it's been 5 years and you still<br>haven't followed me back \ud83d\ude29 @user why you do this to me<br>sol\u00e1na?? \ud83d\ude2d", "@user Muslims r justifying terror attacks on Hindus citing<br>babri, but who is hurting Hindu sentiments time and again by<br>killing cows?", "@user wow I'm just really sadden by that. Terrible", "Like keep grinding boy your life can change in one year, and<br>even when it's dark out the sun is shining somewhere...'", "This provocation sets off a curiosity. An entity is feeding<br>fuel to the fire. speaking quatrains. Hmmm America needs to<br>be vigilant now", "@user Not like that.. You said you wanna leave for a while<br>and come back soon. I don't look for you bcs i'm afraid i'll<br>annoy you..", "I feel like no one is out there on #Twitter  for me.... can<br>anyone see what I write #sadness #rants", "@user I don't know my mouth was burning the whole time", "I love #tattoos but seriously #justtattooofus that's just<br>#revenge &amp; it's #permanent for life not sure it's worth<br>the #5mins of fame \ud83e\udd14", "@user not mad but tilting? slightly irate? is that cool?", "@user @user @user You need a new tactic post-Trump/Brexit.<br>Hurling that insult around no longer works I'm afraid.", "@user @user Yep, as I pointed out before, it's the politics<br>of loathing. That's why the big candidates are so horrible.", "@user it's 5679787. Cannot DM you as we don't follow each<br>other. Not such a  #party #fail #letdown", "Currently listening to @user &amp; @user @user podcasts!!<br>Can you guys please move to #yvr ? #hilarious #missyou", "Lunatic Asylum: The place where optimism most flourishes.", "A liar an a bully for president? They say every vote matter<br>, well  I'm sorry you'll not get my vote until the year<br>2020", "The Majority is angry. Use of words like Kashmiriyat<br>infuriate it further. Hope ministers, spokesmen weigh words<br>...", "@user @user most of Trump supporters have not clue about the<br>meaning of the words they used just like him #sad #nevertrum-<br>p", "Ill say it again. If I was a Black man Id be afraid to leave<br>my house or have a moving violation.\\n\\n #TerranceCrutcher<br>#truth", "both afraid of all the same things", "@user @user Is it about rabid penguins on a plane", "Ultimately, #KeithScott wasn't the man they were there to<br>hand an arrest warrant to. That's what we know. That's<br>enough to cause outrage.", "@user A plus point, she won't have to queue for the loos.<br>Any more plus points? Nope, can't think of any #shocking<br>#sexism", "The ghost of Stefano reflects on the grim indignity of being<br>murdered by corrupt cops in faux love. #days", "@user its reflective of the current political debate #awful", "@user @user WAS THERE A CLOWN IN YOUR NEIGHBORHOOD?  #creepy<br>#EnoughIsEnough", "I'm mad at the injustice, so I'm going to smash my<br>neighbours windows'.  Makes perfect sense. #CharlotteProtes-<br>t", "@user can you maybe break it down into smaller bits? or<br>space it out so it doesnt seem to daunting?", "The Republicans need to offer a detailed and competitive<br>plan, if they don't buy counter terrorism, or their own<br>plan.", "#Azerbaijan #Baku Azerbaijan to prevent another Armenian<br>provocation in Russia", "@user use the F word as much as you need to. People may<br>start to listen. :)", "Am I watching #BacheloretteAU or Zoolander ?  #samvrhys", "Ever been really lonely and your phone keeps blowing up, but<br>you just can\u2019t pick it up and respond to people? #anxiety<br>#recluse  #issues", "i'm doing laundry and watching that 70's show with a bunch<br>of strangers. #happy #birthday #to #me", "@user @user awe ain't he a sweetheart? He's adorable! \ud83d\ude0a\ud83d\ude0d\u2764\ufe0f", "I meet new people and I had to grow up with the reality that<br>people can be desgusting and fake and so I lost my<br>cheerfulness and started to", "what does one do with all the bitterness + anger of lack of<br>job security, esp. when one has no obvious manoeuvres to<br>remedy the situation", "@user @user @user N-no. Because of your wrath.", "when season 13 of greys anatomy premieres today. it you're<br>only on season 7 #sadness :(", "The #secret to all of every industry: just #start doing<br>it...somehow people forget that they never gave you<br>#permission.' - @user", "i love his smile", "@user yes Hun! Avoid at all costs!!", "10/10 do not recommend burning your scalp in the sun. my<br>parting is glowing red and it burns \ud83d\ude02 where\u2019s a cap when you<br>need one?", "At 12:01, Tumblr became sentient. At 1.:02, Tumblr posted gn<br>animated gif about it. At 12:03, Tumblr shipped itself.", "@user @user We need to get you out of there and relocated to<br>somewhere that isn't afraid of sunshine.", "@user @user I don't think it's very funny you guys bullying<br>a man for struggling to put on a poncho #bully #bullies<br>#bbc", "my life in one word is depressing", "@user @user If I could just pick 8 of them then I'd have no<br>trouble picking who I wanted \ud83e\udd23", "@user watching on +1. I would have been straight out of<br>there with the guy who was getting irate! #ExtremeWorld", "Having one of those #angry days. I will have to stop<br>watching #news.", "Just finished playing Mystic Messenger. And I didnt expect<br>the amount of angst in it! \u3012\u25bd\u3012\\n #mysticmessenger #feels", "It's simple I get after two shots of espresso 'Grande,<br>decaf, 130 degrees soy americano with extra foam' #barista", "@user you may be right, but since year the bad events begin<br>with B, I'm privately hoping we've got at least C-Z to go<br>1st #optimism", "Well that was exhilarating. I didn't know you could have<br>goosebumps for 2 hrs 5m straight.", "i had a hard time falling a sleep and woke up several times<br>because i was afraid of bugs crawling on me and i ended up<br>waking up with a bite", "\u201cThe #optimist proclaims that we live in the best of all<br>possible worlds; and the #pessimist fears this is true.\u201d ~<br>James Branch Cabell", "@user just preordered The Pale EP... Would have paid for the<br>phone call... But I would have freaked out and not said<br>anything", "@user Stupid cunt is relentless with his bullshit", "the 1975 are playing antichrist why won't @user play hustle<br>it's an outrage", "He showed us a really lively performance, with a lot of<br>different emotions, not just sticking to one. And that's<br>freaking awesome.", "So it's a proper test match Day-2 now :) ttv' s team<br>responds to yesterday's attack from #AIADMKMERGER team:)<br>#entertaining to be honest", "@user @user @user Are u serious ?!?! Wow \ud83d\ude33", "Miami proficiency is like pleasing by what name miami<br>beaches: pIkxb", "People will talk, words will sting, but how you handle that<br>is what differs you from them. Be like them or change the<br>culture?#BeDifferent", "@user grim really", "Me and @user snap streak is at 260, if that's not amazing I<br>don't know what is #commitment", "@user thanks for ios10 update, even the best app @user<br>freezing and crashing on SE. #angry", "Ang cute ni grim reaper omg", "@user @user @user haha Bro she's sadly married man \ud83d\ude29\ud83d\ude29", "@user vas a ir al de the amaity affliction?", "@user @user She is Right shld burn them alive \ud83d\ude21 it's even<br>more better if they burn you with ur brothers \ud83d\ude20", "340:892 All with weary task fordone.\\nNow the wasted brands<br>do glow,\\nWhilst the scritch-owl, scritching loud,\\n#AMNDBot-<br>s", "@user worst thing is i have confimation from them", "#UKVI why are you so difficult to access? And why on earth<br>am I being charged exorbitant amounts to understand about my<br>visa status?!  #crap", "@user @user  She never said anything about taking away guns<br>but I would now bc of your stupid scare tactics for gun<br>sales.Sickening", "@user But sadly.. you are too busy with your new drama \ud83d\ude1e", "Joes gf started singing all star and then Joe got angry and<br>was all sing it right and started angrily singing it back at<br>her", "If yiu don't respond .o an email within 7 days, you willxbe<br>killed by an animated gif of the girl froa The Ri.g.", "@user seriously dude buy some bubble tape for your phones.<br>#snap broke another phone", "Their engine runs on fuel called whining :-)\\n\\nU jst  hv 2b<br>observant..\\nHar din Rona dhona &amp; complain. \\nHappy news<br>makes them unhappy :-)", "max @user is lit af he rly put up w my dumb ass for abt two<br>yrs ol boy deserves an award &lt;3 i lov him sm hes a<br>delight &amp; a half", "@user awe feels or que :,(", "So I went to a different grocery store, and they had no<br>@user had to buy Helmann's.\\nLiterally shaking right now.", "Bring on my interview at hospital tho \ud83d\ude48\ud83d\ude48", "@user just when I thought this disgusting man couldn't sink<br>any lower-like Hillary he his depravity of character has no<br>bottom", "second day on the job and i already got a 45 dollar tip from<br>a dude whose was constantly twitching his eye LOLOLOL", "@user They are my hetero guilty pleasure \ud83d\ude02", "@user he's brilliant, lost the joyous plot with us that<br>year. Admits being a fan now after that.", "Recording some more #FNAF and had to FaceTime my mum to let<br>her know I was okay after I let out a high pitched scream \ud83d\ude02<br>#horror #suchagirl", "@user if your depressed and somebody calls you long faced<br>will you still automatically take umbrage?", "Life long fear of havin a shit and a spider crawls up ya<br>bum", "@user I hope didn't scare other people who owned this figure<br>that he will move at midnight \ud83d\ude02", "inha's and seol's banter is rly fun to read. im in awe that<br>seol is willing to deal with her tho", "@user I remember Joey slagging England player's off bringing<br>out books after crap tournaments..same same..crap player<br>#bully", "Rt @user i need that one back, that whole cd was hard, the<br>one with a #rage flew through, rhyme flow, n the 1 u speak<br>on the dollar", "@user i'm very happy glad or whatever the feelings i'm not<br>into dramas", "Just Laying Here, Can't Sleep 4 Some Reason #restless", "Fam what seems more fun for a photo booth: being able to<br>instantly post to Twitter or having to wait till sober to<br>see the hot mess", "@user Anything to keep you from destroying this country<br>you're #makingamericastupid #sad", "Why is @user 'busted' bc he spoke w/Russian lawyer? He's a<br>world bizman. Where was the outrage bc @user honeymooned<br>there?", "Internet \ud83d\ude20 Waiting 15 minutes for my Snapchat to update and<br>it's only a fraction done.", "13) mutual whos always online - @user bc we have to bully<br>her to get to sleep", "Just got back from seeing @user in Burslem. AMAZING!! Face<br>still hurts from laughing so much", "@user I thought I peeped him on your snap. That's the homie<br>\u270a\ud83c\udffd lol", "@user \\nWho nose where those scent roses went\\nTo a spot in<br>the Orient\\nMummified\\nIn rapeseed oil fried\\nEating<br>drinking &amp; merriment.", "Scott Dann injured aka my worst nightmare", "@user don't know I'm from nj we are the worst on purpose.", "@user bad.I am fearing for my life\ud83d\ude4f", "@user omg I'm so slow bc my eng is not very well and my<br>hands are shaking uhh help meee I'm like this lil chicken<br>now \ud83d\udc25#MoreisBetter", "Day 10 !!!! #milestone #sober slept 12 hours last night<br>rather than my usual 6 my body made me had no choice.", "They'll be yo friend, shake your hand, then kick in yo door<br>thas the way the game go\ud83e\udd16\ud83e\udd10.", "@user @user #Alyssa Y don't U use your voice 4 good instead<br>of #hatred &amp; #Resistance of @user I'm sure #Ivanka could<br>help!", "Yeah I'm hot nigga, they say im burning uhhhhh", "Happy birthday\ud83c\udf89\ud83c\udf89\u2764\ufe0f\ud83d\ude18 @user I 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.. GENERATED FROM PYTHON SOURCE LINES 335-343

For example, here the check detected that we have a lot of lacking annotations for samples that are informal and
not very fluent. May it be the case that our annotators have a problem annotating these samples and prefer not to
deal with them? If these samples are important for use, we may have to put special focus on annotating this segment.

.. note::

    You can find the full list of available NLP checks in the :mod:`nlp.checks api documentation ֿ
    <deepchecks.nlp.checks>`.


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 51.049 seconds)


.. _sphx_glr_download_nlp_auto_tutorials_quickstarts_plot_text_classification.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example




    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_text_classification.py <plot_text_classification.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_text_classification.ipynb <plot_text_classification.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_