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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 11–20 of 202 papers

TitleStatusHype
Multi-Modality Collaborative Learning for Sentiment AnalysisCode1
Semi-IIN: Semi-supervised Intra-inter modal Interaction Learning Network for Multimodal Sentiment AnalysisCode1
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
Semantic-Guided Multimodal Sentiment Decoding with Adversarial Temporal-Invariant LearningCode1
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment AnalysisCode1
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment AnalysisCode1
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