Turdi Tohti

MSACC: A Unified Multimodal Sentiment Analysis Framework for High Interpretability and Zero-shot Performance

Compared to large language models, traditional multimodal sentiment analysis frameworks are constrained by their classification heads, resulting in poor performance on zero-shot tasks. Moreover, due to limitations in visual encoders and multimodal fusion modules, most existing frameworks can only pr…