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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 161–170 of 202 papers

TitleStatusHype
DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam—0
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis—0
Lightweight Models for Multimodal Sequential Data—0
Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion network—0
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis—0
An AutoML-based Approach to Multimodal Image Sentiment Analysis—0
The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvements—0
BennettNLP at SemEval-2020 Task 8: Multimodal sentiment classification Using Hybrid Hierarchical Classifier—0
Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language—0
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis—0
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