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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 71–80 of 202 papers

TitleStatusHype
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement LearningCode0
Multimodal Sentiment Analysis To Explore the Structure of EmotionsCode0
Multimodal Language Analysis with Recurrent Multistage FusionCode0
Multimodal Sentiment Analysis using Hierarchical Fusion with Context ModelingCode0
Efficient Low-rank Multimodal Fusion with Modality-Specific FactorsCode0
CAtCh: Cognitive Assessment through Cookie ThiefCode0
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media VideosCode0
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal FusionCode0
Multimodal Transformer for Unaligned Multimodal Language SequencesCode0
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language modelsCode0
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