Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets
Author:
Affiliation:
1. Université de Rouen Normandie, LITIS UR 4108, Rouen, France
2. INSA Rouen Normandie, LITIS UR 4108, Rouen, France
3. Saagie, Rouen, France
4. Atmo Normandie, Rouen, France
Funder
CATCH research project, recipient of the RA-SIOMRI 2021 funding program
French National Research Agency (ANR) and the Normandy region
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10400468.pdf?arnumber=10400468
Reference82 articles.
1. Emotion classification of social media posts for estimating people’s reactions to communicated alert messages during crises
2. A survey on sentiment and emotion analysis for computational literary studies;Kim;arXiv:1808.03137,2018
3. A Deep Learning-Based Approach for Multi-Label Emotion Classification in Tweets
4. Multi-label Emotion Classification using Content-Based Features in Twitter
5. The role of language in emotion: predictions from psychological constructionism
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