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cardiffnlp/twitter-roberta-base-emotion

A model trained on approximately 58 million tweets and fine-tuned for emotion recognition using the TweetEval benchmark. The model achieves high accuracy on various emotion classification tasks, including emojii, emotion, hate, irony, offensive, sentiment, stance/abortion, stance/atheism, stance/climate, stance/feminist, and stance/hillary.

A model trained on approximately 58 million tweets and fine-tuned for emotion recognition using the TweetEval benchmark. The model achieves high accuracy on various emotion classification tasks, including emojii, emotion, hate, irony, offensive, sentiment, stance/abortion, stance/atheism, stance/climate, stance/feminist, and stance/hillary.

Public
$0.0005 / sec
demoapi

dff452c4f42c15a25bd51aff1f1ca5d15ec08c23

2024-06-17T17:31:44+00:00