Attention-based fusion for multimodal sentiment analysis using emotion mapping from behavioral, physiological, and textual signals
Abstract Multimodal Sentiment Analysis (MSA) involves integrating diverse data modalities—such as physiological signals, speech, and textual input—to predict human emotions with higher reliability than unimodal approaches. However, key challenges persist in modeling cross-modal interactions, handlin...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2026-05-01
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| Col·lecció: | Discover Applied Sciences |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s42452-026-08733-8 |
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