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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 171–180 of 202 papers

TitleStatusHype
Multimodal Sentiment Analysis To Explore the Structure of EmotionsCode0
Multimodal Sentiment Analysis using Hierarchical Fusion with Context ModelingCode0
Towards Arabic Multimodal Dataset for Sentiment AnalysisCode0
Context-Dependent Sentiment Analysis in User-Generated VideosCode0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement LearningCode0
Multimodal Speech Emotion Recognition Using Audio and TextCode0
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal FusionCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
Multimodal Language Analysis with Recurrent Multistage FusionCode0
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