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

`load_data`([data_format, as_train_test, ...])	Load and returns the Tweet Emotion dataset (classification).
`load_embeddings`([as_train_test])	Load and return the embeddings of the tweet_emotion dataset calculated by OpenAI.
`load_precalculated_predictions`([...])	Load and return a precalculated predictions for the dataset.
`load_under_annotated_data`()	Load and return the test data, modified to have under annotated segment.

classification

load_data