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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 (see Appendix) and predicts Ekman's 6 basic emotions, plus a neutral class: 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. 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: 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) [![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. 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. 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. 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.