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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 71–80 of 202 papers

TitleStatusHype
Modality Influence in Multimodal Machine Learning—0
Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysis—0
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal FusionCode0
Cross-Attention is Not Enough: Incongruity-Aware Dynamic Hierarchical Fusion for Multimodal Affect RecognitionCode0
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal AlignmentCode0
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning—0
Multimodal Sentiment Analysis: A Survey—0
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language modelsCode0
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and PersonalisationCode1
TextMI: Textualize Multimodal Information for Integrating Non-verbal Cues in Pre-trained Language Models—0
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