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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 121–130 of 202 papers

TitleStatusHype
Generalizable Multi-linear Attention Network—0
Graph-based Fine-grained Multimodal Attention Mechanism for Sentiment Analysis—0
Multimodal Sentiment Analysis with Common-sense Modulation—0
BACN: Bi-direction Attention Capsule-based Network for Multimodal Sentiment Analysis—0
Sentiment Analysis of Fashion Related Posts in Social Media—0
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma DistributionsCode1
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
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data—0
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
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