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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 71–80 of 202 papers

TitleStatusHype
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis—0
A Multimodal Sentiment Dataset for Video Recommendation—0
Exploiting Diverse Feature for Multimodal Sentiment Analysis—0
Contextual Augmented Global Contrast for Multimodal Intent Recognition—0
Explainable Multimodal Sentiment Analysis on Bengali Memes—0
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences—0
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis—0
Enriching Multimodal Sentiment Analysis through Textual Emotional Descriptions of Visual-Audio Content—0
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis—0
Emoji Driven Crypto Assets Market Reactions—0
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