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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 131–140 of 202 papers

TitleStatusHype
Neural Dependency Coding inspired Multimodal Fusion—0
A Multimodal Sentiment Dataset for Video Recommendation—0
TEASEL: A Transformer-Based Speech-Prefixed Language ModelCode1
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis—0
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment AnalysisCode1
Improving Multimodal fusion via Mutual Dependency Maximisation—0
Graph Capsule Aggregation for Unaligned Multimodal SequencesCode0
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space TranslationCode1
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis—0
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion NetworkCode1
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