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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 171–180 of 202 papers

TitleStatusHype
Gated Mechanism for Attention Based Multimodal Sentiment Analysis—0
Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in ConversationCode1
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis—0
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media VideosCode0
Integrating Multimodal Information in Large Pretrained TransformersCode0
Variational Fusion for Multimodal Sentiment Analysis—0
Multimodal Transformer for Unaligned Multimodal Language SequencesCode0
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment AnalysisCode0
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between ModalitiesCode0
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal BehaviorsCode0
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