Multimodal Sentiment Analysis

Multimodal sentiment analysis is a subtask of natural language processing that aims to more accurately identify and understand emotional states by integrating multiple data sources, such as facial expressions and voice recordings. The goal of this task is to leverage the complementary information between different modalities to enhance the accuracy and robustness of sentiment analysis, thereby playing a significant role in areas like human-computer interaction, customer service, and mental health assessment.