Article

Speaker-Aware Emotion Recognition in Dialogues via SemGloVe- BERT and Graph Attention Networks

2025-09-23

Abstract excerpt

<title>Abstract</title> <p>Emotion recognition in dialogues play a critical role in understanding human communications, with impactful applications in domains such as customer support, virtual assistants, and mental health monitoring. Traditional deep learning (DL) approaches like LSTM, Bi-GRU, and BiLSTM have shown promise in identifying emotions from text. However, these models often fail to capture long-range...

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Literature Corpus work: 147db171-d23f-5730-a4b4-1c47b7e38bc1
DOI: 10.21203/rs.3.rs-6876811/v1

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