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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 81–90 of 202 papers

TitleStatusHype
Multi-attention Recurrent Network for Human Communication ComprehensionCode0
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media VideosCode0
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language modelsCode0
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment AnalysisCode0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
MemoSen: A Multimodal Dataset for Sentiment Analysis of MemesCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
Integrating Multimodal Information in Large Pretrained TransformersCode0
Multimodal Sentiment Analysis using Hierarchical Fusion with Context ModelingCode0
Graph Capsule Aggregation for Unaligned Multimodal SequencesCode0
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