| --- |
| license: cc-by-sa-4.0 |
| --- |
| |
| # CamemBERT-EmoTextToKids |
|
|
| Classification model for |
| - input: a sentence + the previous and following sentences |
| - output: 20 labels |
| - is emotional |
| - mode of expression |
| - type of emotion(s) (basic, complex) |
| - category of emotion(s) |
|
|
| ## Input format |
|
|
| The prompt template is: |
| ```before:{previous_sentence}</s>current: {target_sentence}</s>after:{next_sentence}</s>``` |
|
|
| ## Output format |
|
|
| Labels are returned in the following order: |
| 0. sentence is emotional |
| 1. mode is behavioral |
| 2. mode is labeled |
| 3. mode is displayed |
| 4. mode is suggested |
| 5. type is basic |
| 6. type is complex |
| 7. category is admiration |
| 8. category is other |
| 9. category is anger |
| 10. category is guilt |
| 11. category is disgust |
| 12. category is embarassement |
| 13. category is pride |
| 14. category is jealousy |
| 15. category is fear |
| 16. category is joy |
| 17. categoy is fear |
| 18. category is surprise |
| 19. category is sadness |
|
|
| See the [original paper](https://arxiv.org/pdf/2405.14385) for details about training. |
|
|
| ## Dataset |
|
|
| See [EmoTextToKids-sentences](https://huggingface.co/datasets/TextToKids/EmoTextToKids-sentences) |
|
|
| ## Citation information |
|
|
| ```bibtex |
| @inproceedings{etienne2024emotion, |
| title={Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis}, |
| author={{\'E}tienne, Aline and Battistelli, Delphine and Lecorv{\'e}, Gw{\'e}nol{\'e}}, |
| booktitle={Proceedings of the 14th ACL Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA)}, |
| year={2024} |
| } |
| ``` |
