Hierarchical Text-Guided Refinement Network for Multimodal Sentiment Analysis
Multimodal sentiment analysis (MSA) benefits from integrating diverse modalities (e.g., text, video, and audio). However, challenges remain in effectively aligning non-text features and mitigating redundant information, which may limit potential performance improvements. To address these challenges,...
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| Principais autores: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2025-08-01
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| Serija: | Entropy |
| Teme: | |
| Online dostop: | https://www.mdpi.com/1099-4300/27/8/834 |
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