tweet_emotion#
Dataset containing tweet and metadata information for multiclass prediction for emotion of tweet.
The data has 4653 tweet records with 5 features and a multiclass target column, referring to the emotion of the tweet.
This dataset is an extension of Cardiff’s tweet_eval dataset, For additional details about the dataset, please refer to the original source: https://github.com/cardiffnlp/tweeteval. Dataset originally published in “Semeval-2018 task 1: Affect in tweets” by Mohammad et al. (2018): https://aclanthology.org/S18-1001/.
Functions
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Load and returns the Tweet Emotion dataset (classification). |
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Load and return the embeddings of the tweet_emotion dataset calculated by OpenAI. |
Load and return a precalculated predictions for the dataset. |
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Load and return the test data, modified to have under annotated segment. |