| Text stemming: Approaches, applications, and challenges J Singh, V Gupta ACM Computing Surveys (CSUR) 49 (3), 1-46, 2016 | 113 | 2016 |
| A systematic review of text stemming techniques J Singh, V Gupta Artificial Intelligence Review 48, 157-217, 2017 | 95 | 2017 |
| A novel unsupervised corpus-based stemming technique using lexicon and corpus statistics J Singh, V Gupta Knowledge-Based Systems 180, 147-162, 2019 | 32 | 2019 |
| Analytical review of clustering techniques and proximity measures M Vivek, S Bawa, J Singh Artificial Intelligence Review, 2020 | 29 | 2020 |
| WEClustering: word embeddings based text clustering technique for large datasets V Mehta, S Bawa, J Singh Complex & intelligent systems 7 (6), 3211-3224, 2021 | 19 | 2021 |
| An Efficient Corpus-Based Stemmer J Singh, V Gupta Cognitive Computation 9 (5), 671-688, 2017 | 17 | 2017 |
| An ensemble approach for extractive text summarization P Singh, P Chhikara, J Singh 2020 International Conference on Emerging Trends in Information Technology …, 2020 | 13 | 2020 |
| Stamantic clustering: combining statistical and semantic features for clustering of large text datasets V Mehta, S Bawa, J Singh Expert Systems with Applications 174, 114710, 2021 | 10 | 2021 |
| Improving accuracy using ML/DL in vision based techniques of ISLR V Singla, S Bawa, J Singh Multimedia Tools and Applications 83 (7), 20677-20698, 2024 | | 2024 |
| Comparative Analysis of Effect of Corpus-Based Stemmers in Sentiment Analysis F Alotaibi, V Gupta, J Singh INTERNATIONAL JOURNAL OF RESEARCH IN ELECTRONICS AND COMPUTER ENGINEERING 6 …, 2018 | | 2018 |
Dr. Vishal GuptaAssociate Professor (Computer Science & Engineering), UIET, Panjab University ChandigarhVerified email at pu.ac.in
