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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 151–200 of 202 papers

TitleStatusHype
Toward Robust Multimodal Learning using Multimodal Foundational Models—0
Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis—0
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification—0
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data—0
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects—0
TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis—0
Trustworthy Multimodal Fusion for Sentiment Analysis in Ordinal Sentiment Space—0
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss—0
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
Utterance-Level Multimodal Sentiment Analysis—0
Variational Fusion for Multimodal Sentiment Analysis—0
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis—0
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge—0
Multimodal Sentiment Analysis with Common-sense Modulation—0
Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach—0
Multimodal Sentiment Analysis with Multi-perspective Fusion Network Focusing on Sense Attentive Language—0
Multimodal Transformers are Hierarchical Modal-wise Heterogeneous Graphs—0
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos—0
Neural Dependency Coding inspired Multimodal Fusion—0
Multimodal Sentiment Analysis To Explore the Structure of EmotionsCode0
Multimodal Sentiment Analysis using Hierarchical Fusion with Context ModelingCode0
Context-Dependent Sentiment Analysis in User-Generated VideosCode0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal FusionCode0
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement LearningCode0
Multimodal Speech Emotion Recognition Using Audio and TextCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
CAtCh: Cognitive Assessment through Cookie ThiefCode0
Multimodal Language Analysis with Recurrent Multistage FusionCode0
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media VideosCode0
Cross-Attention is Not Enough: Incongruity-Aware Dynamic Hierarchical Fusion for Multimodal Affect RecognitionCode0
Multi-attention Recurrent Network for Human Communication ComprehensionCode0
On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment AnalysisCode0
Graph Capsule Aggregation for Unaligned Multimodal SequencesCode0
Tensor Fusion Network for Multimodal Sentiment AnalysisCode0
Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment AnalysisCode0
MemoSen: A Multimodal Dataset for Sentiment Analysis of MemesCode0
Multimodal Transformer for Unaligned Multimodal Language SequencesCode0
General Debiasing for Multimodal Sentiment AnalysisCode0
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between ModalitiesCode0
Efficient Low-rank Multimodal Fusion with Modality-Specific FactorsCode0
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor RecognitionCode0
Select-Additive Learning: Improving Generalization in Multimodal Sentiment AnalysisCode0
Integrating Multimodal Information in Large Pretrained TransformersCode0
LLaVAC: Fine-tuning LLaVA as a Multimodal Sentiment ClassifierCode0
Contextual Inter-modal Attention for Multi-modal Sentiment AnalysisCode0
Sentiment-enhanced Graph-based Sarcasm Explanation in DialogueCode0
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language modelsCode0
Video-based Cross-modal Auxiliary Network for Multimodal Sentiment AnalysisCode0
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal BehaviorsCode0
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