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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 111–120 of 202 papers

TitleStatusHype
Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages—0
Multimodal fusion via cortical network inspired losses—0
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing ModalitiesCode1
M-SENA: An Integrated Platform for Multimodal Sentiment AnalysisCode2
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR ErrorsCode1
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis—0
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment AnalysisCode1
Analyzing Modality Robustness in Multimodal Sentiment Analysis—0
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis—0
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors—0
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