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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 31–40 of 202 papers

TitleStatusHype
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent ModuleCode1
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment AnalysisCode1
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression EstimationCode1
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment AnalysisCode1
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and StressCode1
Analyzing Modality Robustness in Multimodal Sentiment AnalysisCode1
Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing ModalitiesCode1
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR ErrorsCode1
MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment AnalysisCode1
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma DistributionsCode1
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