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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 1–25 of 202 papers

TitleStatusHype
Sentiment Reasoning for HealthcareCode3
Recent Trends of Multimodal Affective Computing: A Survey from NLP PerspectiveCode2
M-SENA: An Integrated Platform for Multimodal Sentiment AnalysisCode2
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion RecognitionCode2
DLF: Disentangled-Language-Focused Multimodal Sentiment AnalysisCode2
Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment AnalysisCode2
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion RecognitionCode2
Towards Robust Multimodal Sentiment Analysis with Incomplete DataCode2
MARLIN: Masked Autoencoder for facial video Representation LearnINgCode2
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment AnalysisCode1
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment AnalysisCode1
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment AnalysisCode1
A Transformer-based joint-encoding for Emotion Recognition and Sentiment AnalysisCode1
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment AnalysisCode1
Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment AnalysisCode1
Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment AnalysisCode1
Cross-Modal BERT for Text-Audio Sentiment AnalysisCode1
Jointly Fine-Tuning “BERT-like” Self Supervised Models to Improve Multimodal Speech Emotion RecognitionCode1
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion PromptsCode1
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of ModalityCode1
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression EstimationCode1
Analyzing Modality Robustness in Multimodal Sentiment AnalysisCode1
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