Modality-uncertainty-aware knowledge distillation framework for multimodal sentiment analysis

Multimodal sentiment analysis (MSA) has become increasingly important for understanding human emotions, with applications in areas such as human-computer interaction, social media analysis, and emotion recognition. MSA leverages multimodal data, including text, audio, and visual inputs, to achieve b...

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Veröffentlicht in:	Complex & intelligent systems Jg. 12; H. 1; S. 14 - 22
Hauptverfasser:	Wang, Nan, Wang, Qi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.01.2026 Springer Nature B.V Springer
Schlagworte:	Attention mechanism Audio data Complexity Computational Intelligence Data Structures and Information Theory Deep learning Effectiveness Emotion recognition Emotions Engineering Knowledge Knowledge distillation Knowledge representation Multimodal learning Multimodal sentiment analysis Original Paper Performance enhancement Semantics Sentiment analysis Social networks Uncertainty User generated content Attention mechanism Knowledge distillation Multimodal sentiment analysis Multimodal learning
ISSN:	2199-4536, 2198-6053
Online-Zugang:	Volltext
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