Aug 2026
CHSIM: counterfactual consistency and hierarchical modeling for semantic inconsistency in multimodal sentiment analysis
CHSIM, a unified MSA framework for robust text–image sentiment modeling that combines three complementary mechanisms: prediction-consistency regularization under stochastic latent masking, hierarchical cross-modal alignment, and global bidirectional sequence modeling, is proposed.
Siyang Zhang, Guangli Zhu, Qianjin Zhao et al.
· Journal of Supercomputing · 0 citations