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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 61–70 of 202 papers

TitleStatusHype
Jointly Fine-Tuning “BERT-like” Self Supervised Models to Improve Multimodal Speech Emotion RecognitionCode1
Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment AnalysisCode1
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement LearningCode0
General Debiasing for Multimodal Sentiment AnalysisCode0
Multimodal Speech Emotion Recognition Using Audio and TextCode0
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between ModalitiesCode0
Multimodal Sentiment Analysis using Hierarchical Fusion with Context ModelingCode0
Contextual Inter-modal Attention for Multi-modal Sentiment AnalysisCode0
Multimodal Language Analysis with Recurrent Multistage FusionCode0
Multimodal Sentiment Analysis To Explore the Structure of EmotionsCode0
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