Guangli Zhu

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.