Aspect-Based Sentiment Analysis of Students’ Feedback to Improve Teaching–Learning Process GS Chauhan, P Agrawal, YK Meena Information and Communication Technology for Intelligent Systems 107, 259-266, 2019 | 82 | 2019 |
A two-step hybrid unsupervised model with attention mechanism for aspect extraction GS Chauhan, YK Meena, D Gopalani, R Nahta Expert Systems with Applications (SCI Q1 Journal Impact Factor- 8.5) 161, 113673, 2020 | 59 | 2020 |
YouTube Video Ranking by Aspect-Based Sentiment Analysis on User Feedback GS Chauhan, YK Meena Soft Computing and Signal Processing 900, 63-71, 2019 | 26 | 2019 |
Aspect based sentiment analysis using deep learning approaches: A survey GS Chauhan, R Nahta, YK Meena, D Gopalani Computer Science Review (SCI Q1 Journal Impact Factor - 12.9) 49 (100576), 2023 | 14 | 2023 |
Prominent Aspect Term Extraction in Aspect Based Sentiment Analysis GS Chauhan, YK Meena IEEE International Conference and Workshops on Recent Advances and …, 2018 | 14 | 2018 |
Domsent: Domain-specific aspect term extraction in aspect-based sentiment analysis GS Chauhan, YK Meena Smart Systems and IoT: Innovations in Computing: Proceeding of SSIC 2019 …, 2020 | 13 | 2020 |
Embedding metadata using deep collaborative filtering to address the cold start problem for the rating prediction task R Nahta, YK Meena, D Gopalani, GS Chauhan Multimedia Tools and Applications (SCI Q1 Journal, Impact Factor: 3.6) 80 …, 2021 | 12 | 2021 |
An Unsupervised Multiple Word-Embedding Method with Attention Model for Cross Domain Aspect Term Extraction GS Chauhan, YK Meena, D Gopalani, R Nahta 3rd International Conference on Emerging Technologies in Computer …, 2020 | 10 | 2020 |
A mixed unsupervised method for aspect extraction using BERT GS Chauhan, YK Meena, D Gopalani, R Nahta Multimedia Tools and Applications (SCI Q1 Journal, Impact Factor: 3.6), 2022 | 8 | 2022 |
Two-step hybrid collaborative filtering using deep variational bayesian autoencoders R Nahta, GS Chauhan, YK Meena, D Gopalani Information Sciences (SCI Q1 Journal Impact Factor:8.1), 2021 | 6 | 2021 |
A hybrid neural variational CF-NADE for collaborative filtering using abstraction and generation R Nahta, YK Meena, D Gopalani, GS Chauhan Expert Systems with Applications (SCI Q1 Journal Impact Factor-8.5) 179, 115047, 2021 | 5 | 2021 |
SatCoBiLSTM: Self-attention-based hybrid deep learning framework for crisis event detection in social media A Upadhyay, GS Chauhan, YK Meena Expert Systems with Applications (SCI Q1 Journal Impact Factor- 8.5) 249, 2024 | 2 | 2024 |
IOCP: Implementation of Optimized Commit Protocol GS Chauhan, MK Gupta, A Khunteta IEEE International Conference on Recent Advances and Innovations in …, 2014 | 2 | 2014 |
RC-OCP: Reverse coordinated optimized commit protocol GS Chauhan, MK Gupta, A Khunteta IEEE International Conference on Information Systems and Computer Networks …, 2014 | 1 | 2014 |
A Novel Dominating Set and Centrality based Graph Convolutional Network for Node Classification N Garg, S Garg, M Jadega, YK Meena, D Gopalani, GS Chauhan Multimedia Tools and Applications (SCI Q1 Journal Impact Factor-3.6), 2024 | | 2024 |
Deep learning with the generative models for recommender systems: A survey R Nahta, GS Chauhan, YK Meena, D Gopalani Computer Science Review (SCI Q1 Journal Impact Factor - 12.9), 2024 | | 2024 |
A Review Level Aspect Extraction in Sentiment Analysis GS Chauhan, R Nahta, YK Meena 2024 2nd International Conference on Computer, Communication and Control …, 2024 | | 2024 |
Improved Deep Learning Model for Aspect Words Extraction GS Chauhan, R Nahta, YK Meena 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), 286-292, 2023 | | 2023 |
Improvement of the Teaching–Learning Process Using Feature-Driven Opinion Mining of Stakeholders Comments GS Chauhan, R Nahta, A Upadhyay, YK Meena International Conference on Data Science and Applications, 11-20, 2023 | | 2023 |
Deep Learning Model to Improve Teaching-Learning Process using Sentiment Analysis GS Chauhan, N Garg, R Nahta, YK Meena 2023 14th International Conference on Computing Communication and Networking …, 2023 | | 2023 |