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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
Cross-Modal BERT for Text-Audio Sentiment AnalysisCode1
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment AnalysisCode1
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion NetworkCode1
A Transformer-based joint-encoding for Emotion Recognition and Sentiment AnalysisCode1
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion PromptsCode1
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment AnalysisCode1
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
Exchanging-based Multimodal Fusion with TransformerCode1
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of ModalityCode1
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