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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 51–60 of 202 papers

TitleStatusHype
Toward Robust Multimodal Learning using Multimodal Foundational Models—0
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge—0
Contextual Augmented Global Contrast for Multimodal Intent Recognition—0
MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation—0
Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach—0
Explainable Multimodal Sentiment Analysis on Bengali Memes—0
PowMix: A Versatile Regularizer for Multimodal Sentiment Analysis—0
Multimodal Sentiment Analysis: Perceived vs Induced Sentiments—0
Improving Multimodal Sentiment Analysis: Supervised Angular Margin-based Contrastive Learning for Enhanced Fusion Representation—0
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss—0
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