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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 101–110 of 202 papers

TitleStatusHype
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations—0
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment AnalysisCode1
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression EstimationCode1
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment AnalysisCode1
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and StressCode1
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos—0
MemoSen: A Multimodal Dataset for Sentiment Analysis of MemesCode0
Analyzing Modality Robustness in Multimodal Sentiment AnalysisCode1
Adversarial Multimodal Domain Transfer for Video-Level Sentiment Analysis—0
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