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...