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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 131–140 of 202 papers

TitleStatusHype
Video-based Cross-modal Auxiliary Network for Multimodal Sentiment AnalysisCode0
Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis—0
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations—0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos—0
MemoSen: A Multimodal Dataset for Sentiment Analysis of MemesCode0
Adversarial Multimodal Domain Transfer for Video-Level Sentiment Analysis—0
Multimodal fusion via cortical network inspired losses—0
Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages—0
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis—0
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