metadata

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

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

See EmoTextToKids-sentences

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}
}