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Enhancing Multi-label Emotion Prediction through Rule-based Voting with LLM and BERT Variants

2025-11-06

Abstract excerpt

<title>Abstract</title> <p>Emotion analysis in text has become increasingly crucial for applications ranging from social media monitoring to mental health assessment. While advancements in natural language processing (NLP) have improved capabilities in this area, accurately identifying and categorizing complex emotional expressions remains a challenging task. This difficulty arises from the contextual implication...

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Literature Corpus work: 440a4a5d-fe1b-584c-b991-0737d9da1a15
DOI: 10.21203/rs.3.rs-7501928/v1

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