M2Lens: Visualizing and explaining multimodal models for sentiment analysis

• Main Authors: WANG, Xingbo, HE, Jianben, JIN, Zhihua, YANG, Muqiao, WANG, Yong, QU, Huamin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Multimodal models; sentiment analysis; explainable machine learning; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/6777; https://ink.library.smu.edu.sg/context/sis_research/article/7780/viewcontent/21_TVCG_M2Lens.pdf
• Institution: Singapore Management University

Multimodal sentiment analysis aims to recognize people's attitudes from multiple communication channels such as verbal content (i.e., text), voice, and facial expressions. It has become a vibrant and important research topic in natural language processing. Much research focuses on modeling the...