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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 191–200 of 202 papers

TitleStatusHype
Learning Robust Joint Representations for Multimodal Sentiment Analysis—0
Lightweight Models for Multimodal Sequential Data—0
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data—0
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis—0
Improving Multimodal fusion via Mutual Dependency Maximisation—0
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis—0
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis—0
MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation—0
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects—0
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis—0
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