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  With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets (see Appendix) and predicts Ekman's 6 basic emotions, plus a neutral class:
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- 1) anger
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- 2) disgust
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- 3) fear
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- 4) joy
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- 5) neutral
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- 6) sadness
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- 7) surprise
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  The model is a fine-tuned checkpoint of DistilRoBERTa-base.
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  With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets (see Appendix) and predicts Ekman's 6 basic emotions, plus a neutral class:
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+ 1) anger 🀬
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+ 2) disgust 🀒
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+ 3) fear 😨
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+ 4) joy πŸ˜€
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+ 5) neutral 😐
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+ 6) sadness 😭
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+ 7) surprise 😲
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  The model is a fine-tuned checkpoint of DistilRoBERTa-base.
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