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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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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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1) anger 🤬
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2) disgust
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2) disgust 🤢
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3) fear
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3) fear 😨
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4) joy
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4) joy 😀
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5) neutral
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5) neutral 😐
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6) sadness
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6) sadness 😭
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7) surprise
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7) surprise 😲
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The model is a fine-tuned checkpoint of DistilRoBERTa-base.
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The model is a fine-tuned checkpoint of DistilRoBERTa-base.
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