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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 21–30 of 202 papers

TitleStatusHype
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
Multimodal Sentiment Analysis Based on Causal Reasoning—0
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Multimodal Sentiment Analysis Based on BERT and ResNet—0
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions—0
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning—0
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment AnalysisCode2
Towards Robust Multimodal Sentiment Analysis with Incomplete DataCode2
Recent Trends of Multimodal Affective Computing: A Survey from NLP PerspectiveCode2
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