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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 121–130 of 202 papers

TitleStatusHype
DeepMLF: Multimodal language model with learnable tokens for deep fusion in sentiment analysis—0
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis—0
Multimodal Sentiment Analysis—0
Multimodal Sentiment Analysis: Addressing Key Issues and Setting up the Baselines—0
Multimodal Sentiment Analysis: A Survey—0
Multimodal Sentiment Analysis Based on BERT and ResNet—0
Multimodal Sentiment Analysis Based on Causal Reasoning—0
Multimodal Sentiment Analysis based on Video and Audio Inputs—0
Multimodal Sentiment Analysis on CMU-MOSEI Dataset using Transformer-based Models—0
Multimodal Sentiment Analysis: Perceived vs Induced Sentiments—0
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