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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 91–100 of 202 papers

TitleStatusHype
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities—0
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
Toward Robust Multimodal Learning using Multimodal Foundational Models—0
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge—0
Contextual Augmented Global Contrast for Multimodal Intent Recognition—0
MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation—0
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