Grading-Inspired Complementary Enhancing for Multimodal Sentiment Analysis

doi:10.1016/j.inffus.2026.104174

Grading-Inspired Complementary Enhancing for Multimodal Sentiment Analysis

2026-01-23

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DOI：10.1016/j.inffus.2026.104174

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• Provides a flexible and efficient framework for quality-aware knowledge transfer • Proposes a dynamic grading mechanism to adaptively fuse multimodal emotion signals • Achieves state-of-the-art results on three benchmark sentiment analysis datasets

Grading-Inspired Complementary Enhancing for Multimodal Sentiment Analysis

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