Dynamic Multimodal Sentiment Analysis: Leveraging Cross-Modal Attention
for Enabled Classification
Dynamic Multimodal Sentiment Analysis: Leveraging Cross-Modal Attention
for Enabled Classification
This paper explores the development of a multimodal sentiment analysis model that integrates text, audio, and visual data to enhance sentiment classification. The goal is to improve emotion detection by capturing the complex interactions between these modalities, thereby enabling more accurate and nuanced sentiment interpretation. The study evaluates three feature …