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
- mode is behavioral
- mode is labeled
- mode is displayed
- mode is suggested
- type is basic
- type is complex
- category is admiration
- category is other
- category is anger
- category is guilt
- category is disgust
- category is embarassement
- category is pride
- category is jealousy
- category is fear
- category is joy
- categoy is fear
- category is surprise
- category is sadness
See the original paper for details about training.
Dataset
Citation information
@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}
}
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.