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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 91–100 of 202 papers

TitleStatusHype
Graph Capsule Aggregation for Unaligned Multimodal SequencesCode0
Cross-Attention is Not Enough: Incongruity-Aware Dynamic Hierarchical Fusion for Multimodal Affect RecognitionCode0
Efficient Low-rank Multimodal Fusion with Modality-Specific FactorsCode0
Multimodal Sentiment Analysis To Explore the Structure of EmotionsCode0
Generalizable Multi-linear Attention Network—0
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities—0
Gated Mechanism for Attention Based Multimodal Sentiment Analysis—0
CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis—0
Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages—0
Exploring Multimodal Sentiment Analysis via CBAM Attention and Double-layer BiLSTM Architecture—0
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