Research graph
References from Adaptive Fusion-Driven Multimodal Sentiment Analysis Using U-Net++, Capsule Network, and Transformer-Enhanced Extreme Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Fusion-driven multimodal learning for biomedical time series in surgical care
10.3389/fphys.2025.1605406 · 2025 · External reference
An efficient multimodal sentiment analysis in social media using hybrid optimal multi-scale residual attention network
10.1007/s10462-023-10645-7 · 2024 · External reference
Multimodal sentiment analysis based on cross-instance graph neural networks
10.1007/s10489-024-05309-0 · 2024 · External reference
Multi-Modal sentiment analysis based on image and text fusion based on Cross-Attention Mechanism
10.3390/electronics13112069 · 2024 · External reference
TMBL: Transformer-based multimodal binding learning model for multimodal sentiment analysis
10.1016/j.knosys.2023.111346 · 2023 · External reference
Harnessing multimodal emotion features in depression detection across gender: Integrating large language model, acoustic fusion and facial expression recognition
10.1016/j.jad.2026.121207 · 2026 · External reference
A context-sensitive multi-tier deep learning framework for multimodal sentiment analysis
10.1007/s11042-023-17601-1 · 2023 · External reference
Multimodal sentiment analysis: A survey
10.1016/j.displa.2023.102563 · 2023 · External reference
Effective deep learning based multimodal sentiment analysis from unstructured big data
10.1111/exsy.13096 · 2022 · External reference
Visual Sentiment Analysis Using Deep Learning Models with Social Media Data
10.3390/app12031030 · 2022 · External reference
Improving sentiment analysis for social media applications using an ensemble deep learning language model
10.1007/s13369-021-06227-w · 2021 · External reference
Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data
10.1016/j.ipm.2020.102435 · 2020 · External reference
A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
10.1186/s40537-022-00680-6 · 2023 · External reference
A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
10.1007/s11227-021-03838-w · 2021 · External reference
Deep Learning-Based Analysis of Social Media Sentiment Impact on Cryptocurrency Market Microstructure
10.70393/616a736d.323730 · 2025 · External reference
Scalable Graph-Based algorithms for Real-Time analysis of big data in social networks
10.18535/mcsj/v2024.01 · 2024 · External reference
Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model
10.1145/3569580 · 2022 · External reference
Depression detection for twitter users using sentiment analysis in English and Arabic tweets
10.1016/j.artmed.2023.102716 · 2023 · External reference
Convolutional Neural Network for Sentiment Analysis on Metaverse-Related Tweets: A Deep Learning approach
10.1007/s42979-024-03121-8 · 2024 · External reference
Hybrid deep learning approach for sentiment analysis using text and emojis
10.1080/0954898x.2024.2349275 · 2024 · External reference
Transformer-based deep learning models for the sentiment analysis of social media data
10.1016/j.array.2022.100157 · 2022 · External reference
A Deep Learning Modified Neural Network (DLMNN) based proficient sentiment analysis technique on Twitter data
10.1080/0952813x.2022.2093405 · 2022 · External reference
Evaluation datasets for Twitter sentiment analysis: A survey and a new dataset, the STS-Gold
2013 · External reference
Framing image description as a ranking task: data, models and evaluation metrics
10.1613/jair.3994 · 2013 · External reference
Cross-Media Learning for Image Sentiment Analysis in the Wild
10.1109/iccvw.2017.45 · 2017 · External reference
A social media dataset and H-GNN-Based Contrastive learning scheme for multimodal sentiment analysis
10.3390/app15020636 · 2025 · External reference
Hidden factors and hidden topics: Understanding rating dimensions with review text
10.1145/2507157.2507163 · 2013 · External reference
Character-level convolutional networks for text classification
2015 · External reference
An efficient multimodal sentiment analysis in social media using hybrid optimal multi-scale residual attention network
10.1007/s10462-023-10645-7 · ExternalCitation · doi-reference
Multimodal sentiment analysis based on cross-instance graph neural networks
10.1007/s10489-024-05309-0 · ExternalCitation · doi-reference
A context-sensitive multi-tier deep learning framework for multimodal sentiment analysis
10.1007/s11042-023-17601-1 · ExternalCitation · doi-reference
A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
10.1007/s11227-021-03838-w · ExternalCitation · doi-reference
Improving sentiment analysis for social media applications using an ensemble deep learning language model
10.1007/s13369-021-06227-w · ExternalCitation · doi-reference
Convolutional Neural Network for Sentiment Analysis on Metaverse-Related Tweets: A Deep Learning approach
10.1007/s42979-024-03121-8 · ExternalCitation · doi-reference
Transformer-based deep learning models for the sentiment analysis of social media data
10.1016/j.array.2022.100157 · ExternalCitation · doi-reference
Depression detection for twitter users using sentiment analysis in English and Arabic tweets
10.1016/j.artmed.2023.102716 · ExternalCitation · doi-reference
Multimodal sentiment analysis: A survey
10.1016/j.displa.2023.102563 · ExternalCitation · doi-reference
Co-LSTM: Convolutional LSTM model for sentiment analysis in social big data
10.1016/j.ipm.2020.102435 · ExternalCitation · doi-reference
Harnessing multimodal emotion features in depression detection across gender: Integrating large language model, acoustic fusion and facial expression recognition
10.1016/j.jad.2026.121207 · ExternalCitation · doi-reference
TMBL: Transformer-based multimodal binding learning model for multimodal sentiment analysis
10.1016/j.knosys.2023.111346 · ExternalCitation · doi-reference
A Deep Learning Modified Neural Network (DLMNN) based proficient sentiment analysis technique on Twitter data
10.1080/0952813x.2022.2093405 · ExternalCitation · doi-reference
Hybrid deep learning approach for sentiment analysis using text and emojis
10.1080/0954898x.2024.2349275 · ExternalCitation · doi-reference
Cross-Media Learning for Image Sentiment Analysis in the Wild
10.1109/iccvw.2017.45 · ExternalCitation · doi-reference
Effective deep learning based multimodal sentiment analysis from unstructured big data
10.1111/exsy.13096 · ExternalCitation · doi-reference
Hidden factors and hidden topics: Understanding rating dimensions with review text
10.1145/2507157.2507163 · ExternalCitation · doi-reference
Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model
10.1145/3569580 · ExternalCitation · doi-reference
A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
10.1186/s40537-022-00680-6 · ExternalCitation · doi-reference
Framing image description as a ranking task: data, models and evaluation metrics
10.1613/jair.3994 · ExternalCitation · doi-reference
Scalable Graph-Based algorithms for Real-Time analysis of big data in social networks
10.18535/mcsj/v2024.01 · ExternalCitation · doi-reference
Fusion-driven multimodal learning for biomedical time series in surgical care
10.3389/fphys.2025.1605406 · ExternalCitation · doi-reference
Visual Sentiment Analysis Using Deep Learning Models with Social Media Data
10.3390/app12031030 · ExternalCitation · doi-reference
A social media dataset and H-GNN-Based Contrastive learning scheme for multimodal sentiment analysis
10.3390/app15020636 · ExternalCitation · doi-reference
Multi-Modal sentiment analysis based on image and text fusion based on Cross-Attention Mechanism
10.3390/electronics13112069 · ExternalCitation · doi-reference
Deep Learning-Based Analysis of Social Media Sentiment Impact on Cryptocurrency Market Microstructure
10.70393/616a736d.323730 · ExternalCitation · doi-reference
