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Multimodal Sentiment Analysis

Multimodal sentiment analysis is the task of performing sentiment analysis with multiple data sources - e.g. a camera feed of someone's face and their recorded speech.

( Image credit: ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection )

Papers

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Showing 111–120 of 202 papers

TitleStatusHype
Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space—0
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis—0
Emoji Driven Crypto Assets Market Reactions—0
Multimodal fusion via cortical network inspired losses—0
Dynamic Multimodal Sentiment Analysis: Leveraging Cross-Modal Attention for Enabled Classification—0
DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam—0
DNN Multimodal Fusion Techniques for Predicting Video Sentiment—0
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph—0
Analyzing Modality Robustness in Multimodal Sentiment Analysis—0
Multimodal Mixture of Low-Rank Experts for Sentiment Analysis and Emotion Recognition—0
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