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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 61–70 of 202 papers

TitleStatusHype
Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation—0
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment AnalysisCode1
Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation—0
Exchanging-based Multimodal Fusion with TransformerCode1
UniSA: Unified Generative Framework for Sentiment AnalysisCode1
Exploiting Diverse Feature for Multimodal Sentiment Analysis—0
Multimodal Multi-loss Fusion Network for Sentiment AnalysisCode1
General Debiasing for Multimodal Sentiment AnalysisCode0
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis—0
Modality Influence in Multimodal Machine Learning—0
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