Emotion English DistilRoBERTa base Description ℹ With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets (see Appendix below) and predicts Ekman's 6 basic emotions, plus a neutral class: 1) anger 🤬 2) disgust 🤢 3) fear 😨 4) joy 😀 5) neutral 😐 6) sadness 😭 7) surprise 😲 The model is a fine tuned checkpoint of DistilRoBERTa base. For a 'non distilled' emotion model, please refer to the model card of the RoBERTa large version. Application 🚀 a) Run emotion model with 3 lines of code on single text example using Hugging Face's pipeline command on Google Colab: b) Run emotion model on multiple examples and full datasets (e.g., .csv files) on Google Colab: Contact 💻 Please reach out to jochen.hartmann@tum.de if you have any questions or feedback. Thanks to Samuel Domdey and chrsiebert for their support in making this model available. Reference ✅ For attribution, please cite the following reference if you use this model. A working paper will be available soon. BibTex citation: Appendix 📚 Please find an overview of the datasets used for training below. All datasets contain English text. The table summarizes which emotions are av…
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