Multimodal Emotion Recognition in Conversation Based on Hypergraphs
Jiaze Li,
Hongyan Mei,
Liyun Jia
et al.
Abstract:In recent years, sentiment analysis in conversation has garnered increasing attention due to its widespread applications in areas such as social media analytics, sentiment mining, and electronic healthcare. Existing research primarily focuses on sequence learning and graph-based approaches, yet they overlook the high-order interactions between different modalities and the long-term dependencies within each modality. To address these problems, this paper proposes a novel hypergraph-based method for multimodal e… Show more
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