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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 21–30 of 202 papers

TitleStatusHype
Exchanging-based Multimodal Fusion with TransformerCode1
UniSA: Unified Generative Framework for Sentiment AnalysisCode1
Multimodal Multi-loss Fusion Network for Sentiment AnalysisCode1
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and PersonalisationCode1
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation ModelsCode1
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion PromptsCode1
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal RepresentationsCode1
Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment AnalysisCode1
Towards Exploiting Sticker for Multimodal Sentiment Analysis in Social Media: A New Dataset and BaselineCode1
TVLT: Textless Vision-Language TransformerCode1
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