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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
DNN Multimodal Fusion Techniques for Predicting Video Sentiment—0
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis—0
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis—0
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis—0
Lightweight Models for Multimodal Sequential Data—0
An AutoML-based Approach to Multimodal Image Sentiment Analysis—0
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis—0
Modality-Invariant Bidirectional Temporal Representation Distillation Network for Missing Multimodal Sentiment Analysis—0
Learning Robust Joint Representations for Multimodal Sentiment Analysis—0
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis—0
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