SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data
SemMSA, a latent semantic-aided framework that constructs rich sentiment-relevant semantics with LLMs, fully integrating with all modalities via anchor-free spectral alignment, is proposed.
Wen-Hao Li, Zhi-Bin Wu, Chong-Yao Xiao et al.
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