SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 202 papers

TitleStatusHype
Exchanging-based Multimodal Fusion with TransformerCode1
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation ToolboxCode1
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space TranslationCode1
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment AnalysisCode1
SWAFN: Sentimental Words Aware Fusion Network for Multimodal Sentiment AnalysisCode1
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing ModalitiesCode1
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion PromptsCode1
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment AnalysisCode1
Multi-Modality Collaborative Learning for Sentiment AnalysisCode1
Show:102550
← PrevPage 6 of 21Next →

No leaderboard results yet.