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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 131–140 of 202 papers

TitleStatusHype
A Multimodal Sentiment Dataset for Video Recommendation—0
AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis—0
Multimodal Sentiment Analysis with Common-sense Modulation—0
Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach—0
Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language—0
Adversarial Multimodal Domain Transfer for Video-Level Sentiment Analysis—0
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss—0
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs—0
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos—0
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis—0
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