Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets

This study proposes a novel semi-supervised multi-label emotion classification approach for French tweets based on pseudo-labeling. Human subjectivity in emotional expression makes it difficult for a machine to learn. Therefore, it necessitates training supervised learning models on large datasets a...

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Hlavní autoři:	Usman Malik, Simon Bernard, Alexandre Pauchet, Clement Chatelain, Romain Picot-Clemente, Jerome Cortinovis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Multi-label emotion classification semi-supervised learning pseudo-labeling Chat-GPT
On-line přístup:	https://ieeexplore.ieee.org/document/10400468/
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