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emotion-english-distilroberta-base
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## Description
## Description ℹ
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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The model is a fine-tuned checkpoint of DistilRoBERTa-base.
## Application
## Application 🚀
a) Run emotion model with 3 lines of code on single text example using Hugging Face's pipeline command on Google Colab:
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[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/j-hartmann/emotion-english-distilroberta-base/blob/main/emotion_prediction_example.ipynb)
## Contact
## Contact 💻
Please reach out to jochen.hartmann@uni-hamburg.de if you have any questions or feedback.
Thanks to Samuel Domdey and chrsiebert for their support in making this model available.
## Appendix
## Appendix 📚
Please find an overview of the datasets used for training below. All datasets contain English text. The table summarizes which emotions are available in each of the datasets.