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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 91–100 of 202 papers

TitleStatusHype
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis—0
Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment AnalysisCode1
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality—0
AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis—0
Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis—0
Towards Exploiting Sticker for Multimodal Sentiment Analysis in Social Media: A New Dataset and BaselineCode1
TVLT: Textless Vision-Language TransformerCode1
Video-based Cross-modal Auxiliary Network for Multimodal Sentiment AnalysisCode0
Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis—0
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent ModuleCode1
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