Learning to Filter Out the Noise: A New Approach to Multimodal Sentiment Analysis

Sentiment analysis, the capability to understand human emotions and attitudes, is a vital technology for natural language processing. Sentiment analysis has traditionally relied on textual data, but multimodal sentiment analysis has emerged as an active research area in recent years. Multimodal sentiment analysis aims to better model human sentiment by

analysis capability data emotions filter human human emotions language language processing multimodal natural natural language natural language processing noise processing research sentiment sentiment analysis technology textual vital