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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
General Debiasing for Multimodal Sentiment AnalysisCode0
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between ModalitiesCode0
Efficient Low-rank Multimodal Fusion with Modality-Specific FactorsCode0
Select-Additive Learning: Improving Generalization in Multimodal Sentiment AnalysisCode0
Integrating Multimodal Information in Large Pretrained TransformersCode0
LLaVAC: Fine-tuning LLaVA as a Multimodal Sentiment ClassifierCode0
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor RecognitionCode0
Sentiment-enhanced Graph-based Sarcasm Explanation in DialogueCode0
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language modelsCode0
Contextual Inter-modal Attention for Multi-modal Sentiment AnalysisCode0
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