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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 101–110 of 202 papers

TitleStatusHype
Gated Mechanism for Attention Based Multimodal Sentiment Analysis—0
Generalizable Multi-linear Attention Network—0
Graph-based Fine-grained Multimodal Attention Mechanism for Sentiment Analysis—0
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis—0
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis—0
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis—0
Improving Multimodal fusion via Mutual Dependency Maximisation—0
Improving Multimodal Sentiment Analysis: Supervised Angular Margin-based Contrastive Learning for Enhanced Fusion Representation—0
Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis—0
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey—0
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