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 121–130 of 202 papers

TitleStatusHype
Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis—0
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis—0
Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation—0
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis—0
Multimodal fusion via cortical network inspired losses—0
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph—0
Multimodal Mixture of Low-Rank Experts for Sentiment Analysis and Emotion Recognition—0
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis—0
Multimodal Sentiment Analysis—0
Multimodal Sentiment Analysis: Addressing Key Issues and Setting up the Baselines—0
Show:102550
← PrevPage 13 of 21Next →

No leaderboard results yet.