ConsMSA: Semantic Distribution Consistency Learning for Multimodal Sentiment Analysis
arXiv:2610.31731v1 Announce Type: new Abstract: Multimodal sentiment analysis (MSA) aims to predict human sentiments by integrating signals from different modalities such as text, video, and audio. However, raw multimodal sequences often suffer from semantic inconsistency--exhibiting redundancy or…
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- 2026-10-26 04:00 · arXiv cs.LG
ConsMSA: Semantic Distribution Consistency Learning for Multimodal Sentiment Analysis