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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
PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment—0
RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis—0
New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment AnalysisCode1
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities—0
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space—0
TCAN: Text-oriented Cross Attention Network for Multimodal Sentiment Analysis—0
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification—0
Emoji Driven Crypto Assets Market Reactions—0
Sentiment-enhanced Graph-based Sarcasm Explanation in DialogueCode0
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