Survey of Multimodal Sentiment Analysis Based on Deep Learning
Jing Zhang, Siyuan Xue, Xiaoyi Wang, Jie Liu
Abstract
This paper provides a comprehensive review of deep learning applied to multimodal sentiment analysis. Firstly, it briefly outlines the concept, background, and significance of multimodal sentiment analysis. Subsequently, it delves into the application of deep learning techniques in the domain of multimodal sentiment analysis. Furthermore, the paper summarizes advancements in multimodal fusion and interaction technologies. It concludes by discussing future trends and prospects of multimodal sentiment analysis.
Topics & Concepts
Sentiment analysisComputer scienceDeep learningArtificial intelligenceMultimodalityMultimodal learningDomain (mathematical analysis)Data scienceNatural language processingWorld Wide WebMathematicsMathematical analysisSentiment Analysis and Opinion MiningAdvanced Text Analysis TechniquesText and Document Classification Technologies