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## Description ## Description
With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets and predicts 7 emotions: 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:
1) anger 1) anger
2) disgust 2) disgust
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6) sadness 6) sadness
7) surprise 7) surprise
The model is a fine-tuned checkpoint of DistilRoBERTa-base. The emotions reflect Ekman's 6 basic emotions, plus a neutral class. The model is a fine-tuned checkpoint of DistilRoBERTa-base.
## Application ## Application