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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 141–150 of 202 papers

TitleStatusHype
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment AnalysisCode1
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation ToolboxCode1
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis—0
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects—0
DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam—0
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis—0
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and StressCode1
Lightweight Models for Multimodal Sequential Data—0
Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion network—0
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis—0
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