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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 101–150 of 202 papers

TitleStatusHype
Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach—0
Explainable Multimodal Sentiment Analysis on Bengali Memes—0
PowMix: A Versatile Regularizer for Multimodal Sentiment Analysis—0
Multimodal Sentiment Analysis: Perceived vs Induced Sentiments—0
Improving Multimodal Sentiment Analysis: Supervised Angular Margin-based Contrastive Learning for Enhanced Fusion Representation—0
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss—0
Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation—0
Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation—0
Exploiting Diverse Feature for Multimodal Sentiment Analysis—0
General Debiasing for Multimodal Sentiment AnalysisCode0
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis—0
Modality Influence in Multimodal Machine Learning—0
Towards Arabic Multimodal Dataset for Sentiment AnalysisCode0
Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysis—0
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal FusionCode0
Cross-Attention is Not Enough: Incongruity-Aware Dynamic Hierarchical Fusion for Multimodal Affect RecognitionCode0
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment—0
Shared and Private Information Learning in Multimodal Sentiment Analysis with Deep Modal Alignment and Self-supervised Multi-Task Learning—0
Multimodal Sentiment Analysis: A Survey—0
Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language modelsCode0
TextMI: Textualize Multimodal Information for Integrating Non-verbal Cues in Pre-trained Language Models—0
Exploring Multimodal Sentiment Analysis via CBAM Attention and Double-layer BiLSTM Architecture—0
Curriculum Learning Meets Weakly Supervised Modality Correlation Learning—0
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences—0
On the Use of Modality-Specific Large-Scale Pre-Trained Encoders for Multimodal Sentiment AnalysisCode0
Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis—0
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis—0
Missing Modality meets Meta Sampling (M3S): An Efficient Universal Approach for Multimodal Sentiment Analysis with Missing Modality—0
AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis—0
Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis—0
Video-based Cross-modal Auxiliary Network for Multimodal Sentiment AnalysisCode0
Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis—0
CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations—0
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment AnalysisCode0
Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos—0
MemoSen: A Multimodal Dataset for Sentiment Analysis of MemesCode0
Adversarial Multimodal Domain Transfer for Video-Level Sentiment Analysis—0
Multimodal fusion via cortical network inspired losses—0
Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages—0
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis—0
Analyzing Modality Robustness in Multimodal Sentiment Analysis—0
Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis—0
ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors—0
Generalizable Multi-linear Attention Network—0
Multimodal Sentiment Analysis with Common-sense Modulation—0
Graph-based Fine-grained Multimodal Attention Mechanism for Sentiment Analysis—0
BACN: Bi-direction Attention Capsule-based Network for Multimodal Sentiment Analysis—0
Sentiment Analysis of Fashion Related Posts in Social Media—0
Which is Making the Contribution: Modulating Unimodal and Cross-modal Dynamics for Multimodal Sentiment Analysis—0
Stronger Baseline for Robust Results in Multimodal Sentiment Analysis—0
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