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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
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
Multi-Modality Collaborative Learning for Sentiment AnalysisCode1
Semi-IIN: Semi-supervised Intra-inter modal Interaction Learning Network for Multimodal Sentiment AnalysisCode1
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
Bridging the Gap for Test-Time Multimodal Sentiment AnalysisCode1
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
Semantic-Guided Multimodal Sentiment Decoding with Adversarial Temporal-Invariant LearningCode1
Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion RecognitionCode1
New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment AnalysisCode1
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment AnalysisCode1
Exchanging-based Multimodal Fusion with TransformerCode1
UniSA: Unified Generative Framework for Sentiment AnalysisCode1
Multimodal Multi-loss Fusion Network for Sentiment AnalysisCode1
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and PersonalisationCode1
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation ModelsCode1
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