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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
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Jointly Fine-Tuning “BERT-like” Self Supervised Models to Improve Multimodal Speech Emotion RecognitionCode1
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment AnalysisCode1
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of ModalityCode1
MSAF: Multimodal Split Attention FusionCode1
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment AnalysisCode1
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment AnalysisCode1
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion PromptsCode1
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