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Open access 2026

A Bidirectional Cross-Modal Attention Framework for Multimodal Sentiment Analysis

Multimodal sentiment analysis on social media data presents unique challenges due to label noise, modality conflicts, and class imbalance inherent in annotated image-text datasets. The proposed work presents CLIP-CrossFusion Net, a novel multimodal sentiment analysis framework that integrates the Contrastive Language-I...

B. Harish, C. Roopa, M. S. Kendagannaswamy et al. · 0 citations

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