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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 181–190 of 202 papers

TitleStatusHype
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge—0
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis—0
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis—0
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification—0
An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability—0
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey—0
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis—0
Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis—0
Improving Multimodal Sentiment Analysis: Supervised Angular Margin-based Contrastive Learning for Enhanced Fusion Representation—0
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis—0
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