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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 31–40 of 202 papers

TitleStatusHype
Analyzing Modality Robustness in Multimodal Sentiment AnalysisCode1
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space TranslationCode1
Cross-Modal BERT for Text-Audio Sentiment AnalysisCode1
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression EstimationCode1
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment AnalysisCode1
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment AnalysisCode1
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment AnalysisCode1
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