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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 181–190 of 202 papers

TitleStatusHype
Learning Robust Joint Representations for Multimodal Sentiment Analysis—0
Multimodal Speech Emotion Recognition Using Audio and TextCode0
Contextual Inter-modal Attention for Multi-modal Sentiment AnalysisCode0
Multimodal Language Analysis with Recurrent Multistage FusionCode0
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis—0
Polarity and Intensity: the Two Aspects of Sentiment Analysis—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
Multimodal Sentiment Analysis using Hierarchical Fusion with Context ModelingCode0
Efficient Low-rank Multimodal Fusion with Modality-Specific FactorsCode0
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