Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks

Deep Residual Learning for Image Recognition

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Text Level Graph Neural Network for Text Classification

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Biometric Face Presentation Attack Detection With Multi-Channel Convolutional Neural Network

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Tensor Graph Convolutional Networks for Text Classification

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Image-Text Multimodal Emotion Classification via Multi-View Attentional Network

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Sentiment Analysis on Multi-View Social Data

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Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia

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Fake News Detection via Knowledge-driven Multimodal Graph Convolutional Networks

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A Co-Memory Network for Multimodal Sentiment Analysis

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TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis

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Learning One Class Representations for Face Presentation Attack Detection Using Multi-Channel Convolutional Neural Networks

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Analyzing multimodal public sentiment based on hierarchical semantic attentional network

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Multimodal Sentiment Analysis

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KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue

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Multimodal Neural Graph Memory Networks for Visual Question Answering

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Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition

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Multi-Modal Sentiment Classification With Independent and Interactive Knowledge via Semi-Supervised Learning

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Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

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Multimodal learning with transformers: A survey

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Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network

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Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis

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CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection

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Targeted Multimodal Sentiment Classification based on Coarse-to-Fine Grained Image-Target Matching

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Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection

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A multimodal fusion network with attention mechanisms for visual–textual sentiment analysis

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Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection

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Joint multimodal sentiment analysis based on information relevance

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A Survey of Multimodal Fake News Detection: A Cross-Modal Interaction Perspective

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Multimodal sentiment analysis based on multiple attention

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Unified Multi-modal Pre-training for Few-shot Sentiment Analysis with Prompt-based Learning

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Few-Shot Multi-Modal Sentiment Analysis with Prompt-Based Vision-Aware Language Modeling

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Interpretable Multimodal Sentiment Classification Using Deep Multi-View Attentive Network of Image and Text Data

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Multimodal fusion and vision–language models: A survey for robot vision

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Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt

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A comprehensive review of visual–textual sentiment analysis from social media networks

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Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis

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Multimodal sentiment analysis based on cross-instance graph neural networks

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Multimodal Sentiment Analysis Representations Learning via Contrastive Learning with Condense Attention Fusion

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Fact-sentiment incongruity combination network for multimodal sarcasm detection

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Fast, Accurate, and Lightweight Memory-Enhanced Embedding Learning Framework for Image-Text Retrieval

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Affective Region Recognition and Fusion Network for Target-Level Multimodal Sentiment Classification

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Multimodal Emotion Classification With Multi-Level Semantic Reasoning Network

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Integrating color cues to improve multimodal sentiment analysis in social media

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Hybrid Quantum-Classical Neural Network for Multimodal Multitask Sarcasm, Emotion, and Sentiment Analysis

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Crossmodal Translation Based Meta Weight Adaption for Robust Image-Text Sentiment Analysis

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A graph convolution-based heterogeneous fusion network for multimodal sentiment analysis

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MM-InstructEval: Zero-shot evaluation of (Multimodal) Large Language Models on multimodal reasoning tasks

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GPT-4V(ision) as A Social Media Analysis Engine

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Fine-Grained Multimodal DeepFake Classification via Heterogeneous Graphs

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Social Image–Text Sentiment Classification With Cross-Modal Consistency and Knowledge Distillation

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Dominant SIngle-Modal SUpplementary Fusion (SIMSUF) for Multimodal Sentiment Analysis

Huang, J., Ji, Y., Qin, Z., Yang, Y., & Shen, H. T. (2023) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2023.3344358 · Cited by 19 · see citing works

Image–Text Sentiment Analysis Via Context Guided Adaptive Fine-Tuning Transformer

Xiao, X., Pu, Y., Zhao, Z., Nie, R., Xu, D., Qian, W., & Wu, H. (2022) · Neural Processing Letters · doi:10.1007/s11063-022-11124-w · Cited by 19 · see citing works

Cross-modality Representation Interactive Learning for Multimodal Sentiment Analysis

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A knowledge-augmented heterogeneous graph convolutional network for aspect-level multimodal sentiment analysis

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Multimodal sentiment analysis method based on image-text quantum transformer

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Multi-Modal Representation via Contrastive Learning with Attention Bottleneck Fusion and Attentive Statistics Features

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Assessing the helpfulness of hotel reviews for information overload: a multi-view spatial feature approach

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Image–text sentiment analysis based on hierarchical interaction fusion and contrast learning enhanced

Wang, H., Du, Q., & Xiang, Y. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.110262 · Cited by 15 · see citing works

Multi-Modal Sarcasm Detection via Knowledge-Aware Focused Graph Convolutional Networks

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Modality-Dependent Sentiments Exploring for Multi-Modal Sentiment Classification

Li, J., Wang, C., Luo, Z., Wu, Y., & Jiang, X. (2024) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp48485.2024.10445820 · Cited by 13 · see citing works

Multi-grained feature gating fusion network for multimodal sentiment analysis

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Multi-layer cross-modality attention fusion network for multimodal sentiment analysis

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Multichannel Multimodal Emotion Analysis of Cross-Modal Feedback Interactions Based on Knowledge Graph

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Cross-Domain Sentiment Analysis via Disentangled Representation and Prototypical Learning

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Survey of Multimodal Sentiment Analysis Based on Deep Learning

Zhang, J., Xue, S., Wang, X., & Liu, J. (2023) · IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) · doi:10.1109/ccis59572.2023.10263012 · Cited by 12 · see citing works

A Social Media Dataset and H-GNN-Based Contrastive Learning Scheme for Multimodal Sentiment Analysis

Peng, J., He, Y., Chang, Y., Lu, Y., Zhang, P., Ou, Z., & Yu, Q. (2025) · Applied Sciences · doi:10.3390/app15020636 · Cited by 11 · see citing works

Two-stage Attention-based Fusion Neural Network for Image-Text Sentiment Classification

Hu, X., & Yamamura, M. (2022) · International Conference on Image, Video and Signal Processing (IVSP) · doi:10.1145/3531232.3531233 · Cited by 10 · see citing works

Holistic Visual-Textual Sentiment Analysis with Prior Models

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Multi-granularity visual-textual jointly modeling for aspect-level multimodal sentiment analysis

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Improving multimodal sentiment prediction through vision-language feature interaction

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Multiple Contrastive Learning for Multimodal Sentiment Analysis

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Feature-guided Multimodal Sentiment Analysis towards Industry 4.0

Yu, B., Wei, J., Yu, B., Cai, X., Wang, K., Sun, H., Bu, L., & Chen, X. (2022) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2022.107961 · Cited by 9 · see citing works

BIT: Improving Image-text Sentiment Analysis via Learning Bidirectional Image-text Interaction

Xiao, X., Pu, Y., Zhao, Z., Gu, J., & Xu, D. (2023) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn54540.2023.10191445 · Cited by 8 · see citing works

SSMIM: Semi-supervised Multimodal Interaction Model for real-time conversational emotion recognition

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Multi-Modal Emotion Recognition for Online Education Using Emoji Prompts

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Transformer-based short-term memory attention for enhanced multimodal sentiment analysis

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Semantic Interaction Fusion Framework for Multimodal Sentiment Recognition

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Adaptive multimodal prompt-tuning model for few-shot multimodal sentiment analysis

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Deep Learning Approaches on Multimodal Sentiment Analysis

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UsbVisdaNet: User Behavior Visual Distillation and Attention Network for Multimodal Sentiment Classification

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A Sentimental Prompt Framework with Visual Text Encoder for Multimodal Sentiment Analysis

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Momentum Distillation Improves Multimodal Sentiment Analysis

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Heterogeneous Graph Learning for Acoustic Event Classification

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Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas Dialog

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Cross-Modality Fused Graph Convolutional Network for Image-Text Sentiment Analysis

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MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions

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Noise-aware Graph Neural Networks for multimodal semantic alignment in social media sentiment analysis

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Cross-Modal Hierarchical Knowledge Distillation for Image Aesthetics Assessment

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Visually-aware Acoustic Event Detection using Heterogeneous Graphs

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Multi-Task Supervised Alignment Pre-Training for Few-Shot Multimodal Sentiment Analysis

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Multimodal Alignment and Hierarchical Fusion Network for Multimodal Sentiment Analysis

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Image–Text Multimodal Sentiment Analysis Algorithm Based on Curriculum Learning and Attention Mechanisms

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MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search

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A novel sarcasm detection approach for text-image data: Leveraging multimodal fusion and weighted latent factors

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Multi-Modal Graph-Based Sentiment Analysis via Hybrid Contrastive Learning

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Quantum-inspired multimodal fusion with Lindblad master equation for sentiment analysis

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Multimodal Affect Perception With Large Language Model Enhancement Network

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FADD-Net:Multimodal Sentiment Analysis Based on Feature Alignment and Differential Decoupling

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Few-Shot Multimodal Sentiment Analysis Based on Dynamic Adjustment and Contrastive Learning

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AutoAMS: Automated attention-based multi-modal graph learning architecture search

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Maximizing Sentiment Detection Through Comprehensive Multimodal Data Fusion: Integrating CNN, RNN, LSTM

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A Multimodal Sentiment Analysis Model for Graphic Texts Based on Deep Feature Interaction Networks

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A Novel MLLMs-Based Two-Stage Model for Zero-Shot Multimodal Sentiment Analysis

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An Image-Text Sentiment Analysis Method for Small Samples Based on Image Captioning

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MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion

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Two-Stage Multi-Modal Prompt Tuning for Few-Shot Sentiment Analysis

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MSAF: Multimodal Sentiment Detection via Multiscale Adaptive Fusion

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Cross-Hierarchical Multimodal Sentiment Analysis for Mental State Monitoring

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Image-Text Sentiment Analysis Using Modality Adaption and Multi-Broad Learning

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Exploiting Sentiment Analysis in Machine Learning for Mental Health Detection and Tailored Recommendations

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A Review of Multimodal Sentiment Analysis in Online Public Opinion Monitoring

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Multimodal Cross-Attention Graph Network for Desire Detection

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Multimodal Sentiment Analysis With Image-Text Correlation Modal

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News-Driven Price Movement Forecasting with Label-Prior Graph Attention

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MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation

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A multi-relational graph convolutional network for multimodal sentiment analysis

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Graph Neural Network-Based Multimodal Emotion Recognition

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Multimodal Multi-loss Fusion Network for Sentiment Analysis

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