| Comparative study of word embedding methods in topic segmentation M Naili, AH Chaibi, HHB Ghezala Procedia computer science 112, 340-349, 2017 | 177 | 2017 |
| Arabic topic identification based on empirical studies of topic models H Ghézala, A Chaibi, M Naili Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées 27, 2017 | 20 | 2017 |
| Topic segmentation for textual document written in arabic language AH Chaibi, M Naili, S Sammoud Procedia Computer Science 35, 437-446, 2014 | 15 | 2014 |
| Comparative study of Arabic stemming algorithms for topic identification M Naili, AH Chaibi, HHB Ghezala Procedia Computer Science 159, 794-802, 2019 | 11 | 2019 |
| Exogenous approach to improve topic segmentation M Naili, AH Chaibi, HHB Ghezala International Journal of Intelligent Computing and Cybernetics 9 (2), 165-178, 2016 | 6 | 2016 |
| Parameters driving effectiveness of LSA on topic segmentation M Naili, AC Habacha, HH Ben Ghezala International Conference on Intelligent Text Processing and Computational …, 2016 | 4 | 2016 |
| Empirical study of LDA for Arabic topic identification M Naili, AH Chaibi, HB Ghézala Proceedings of CARI, 139, 2016 | 3 | 2016 |
| The contribution of stemming and semantics in Arabic topic segmentation M Naili, AH Chaibi, HHB Ghezala ACM Transactions on Asian and Low-Resource Language Information Processing …, 2018 | 2 | 2018 |
| Topic analysis to identify communities from Twitter M Naili | | |
