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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 141–150 of 202 papers

TitleStatusHype
Analyzing Modality Robustness in Multimodal Sentiment Analysis—0
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis—0
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors—0
Generalizable Multi-linear Attention Network—0
Multimodal Sentiment Analysis with Common-sense Modulation—0
Graph-based Fine-grained Multimodal Attention Mechanism for Sentiment Analysis—0
BACN: Bi-direction Attention Capsule-based Network for Multimodal Sentiment Analysis—0
Sentiment Analysis of Fashion Related Posts in Social Media—0
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis—0
Stronger Baseline for Robust Results in Multimodal Sentiment Analysis—0
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