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

Showing 181190 of 202 papers

TitleStatusHype
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media VideosCode0
CAtCh: Cognitive Assessment through Cookie ThiefCode0
Multi-attention Recurrent Network for Human Communication ComprehensionCode0
On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment AnalysisCode0
Cross-Attention is Not Enough: Incongruity-Aware Dynamic Hierarchical Fusion for Multimodal Affect RecognitionCode0
Graph Capsule Aggregation for Unaligned Multimodal SequencesCode0
Tensor Fusion Network for Multimodal Sentiment AnalysisCode0
MemoSen: A Multimodal Dataset for Sentiment Analysis of MemesCode0
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment AnalysisCode0
Multimodal Transformer for Unaligned Multimodal Language SequencesCode0
Show:102550
← PrevPage 19 of 21Next →

No leaderboard results yet.