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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

Showing 110 of 202 papers

TitleStatusHype
Sentiment Reasoning for HealthcareCode3
DLF: Disentangled-Language-Focused Multimodal Sentiment AnalysisCode2
Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment AnalysisCode2
Towards Robust Multimodal Sentiment Analysis with Incomplete DataCode2
Recent Trends of Multimodal Affective Computing: A Survey from NLP PerspectiveCode2
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion RecognitionCode2
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion RecognitionCode2
MARLIN: Masked Autoencoder for facial video Representation LearnINgCode2
M-SENA: An Integrated Platform for Multimodal Sentiment AnalysisCode2
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion RecognitionCode1
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