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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 51–75 of 202 papers

TitleStatusHype
Exchanging-based Multimodal Fusion with TransformerCode1
Transfer Learning with Joint Fine-Tuning for Multimodal Sentiment AnalysisCode1
Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in ConversationCode1
TVLT: Textless Vision-Language TransformerCode1
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent ModuleCode1
CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression EstimationCode1
Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion PromptsCode1
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation ToolboxCode1
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and StressCode1
Cross-Modal BERT for Text-Audio Sentiment AnalysisCode1
Generalizable Multi-linear Attention Network—0
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities—0
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis—0
Gated Mechanism for Attention Based Multimodal Sentiment Analysis—0
CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis—0
Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages—0
Exploring Multimodal Sentiment Analysis via CBAM Attention and Double-layer BiLSTM Architecture—0
Exploring Large Language Models for Multimodal Sentiment Analysis: Challenges, Benchmarks, and Future Directions—0
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis—0
A Multimodal Sentiment Dataset for Video Recommendation—0
Exploiting Diverse Feature for Multimodal Sentiment Analysis—0
Contextual Augmented Global Contrast for Multimodal Intent Recognition—0
Explainable Multimodal Sentiment Analysis on Bengali Memes—0
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