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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 41–50 of 202 papers

TitleStatusHype
TEASEL: A Transformer-Based Speech-Prefixed Language ModelCode1
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment AnalysisCode1
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space TranslationCode1
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion NetworkCode1
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment AnalysisCode1
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation ToolboxCode1
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and StressCode1
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment AnalysisCode1
MSAF: Multimodal Split Attention FusionCode1
SWAFN: Sentimental Words Aware Fusion Network for Multimodal Sentiment AnalysisCode1
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