| Automated analysis of exam questions according to Bloom's taxonomy N Omar, SS Haris, R Hassan, H Arshad, M Rahmat, NFA Zainal, R Zulkifli Procedia-Social and Behavioral Sciences 59, 297-303, 2012 | 186 | 2012 |
| Question classification based on Bloom’s taxonomy cognitive domain using modified TF-IDF and word2vec M Mohammed, N Omar PloS one 15 (3), e0230442, 2020 | 174 | 2020 |
| Approaches to cross-domain sentiment analysis: A systematic literature review T Al-Moslmi, N Omar, S Abdullah, M Albared Ieee access 5, 16173-16192, 2017 | 167 | 2017 |
| Arabic senti-lexicon: Constructing publicly available language resources for Arabic sentiment analysis T Al-Moslmi, M Albared, A Al-Shabi, N Omar, S Abdullah Journal of information science 44 (3), 345-362, 2018 | 116 | 2018 |
| Exam questions classification based on Bloom's taxonomy cognitive level using classifiers combination DA Abduljabbar, N Omar Journal of Theoretical and Applied Information Technology 78 (3), 447, 2015 | 116 | 2015 |
| Arabic machine translation: a survey A Alqudsi, N Omar, K Shaker Artificial Intelligence Review 42, 549-572, 2014 | 111 | 2014 |
| Heuristic-based entity-relationship modelling through natural language processing N Omar, JRP Hanna, P McKevitt Proc. of the 15th Artificial Intelligence and Cognitive Science Conference …, 2004 | 79 | 2004 |
| Ensemble of classification algorithms for subjectivity and sentiment analysis of Arabic customers' reviews N Omar, M Albared, AQ Al-Shabi, T Al-Moslmi International Journal of Advancements in Computing Technology 5 (14), 77, 2013 | 77 | 2013 |
| Arabic named entity recognition using artificial neural network NF Mohammed, N Omar Journal of Computer Science 8 (8), 1285, 2012 | 72 | 2012 |
| A rule-based approach in Bloom's Taxonomy question classification through natural language processing SS Haris, N Omar 2012 7th international conference on computing and convergence technology …, 2012 | 66 | 2012 |
| Corpus-Based Techniques for Sentiment Lexicon Generation: A Review. M Darwich, SA Mohd, N Omar, NA Osman J. Digit. Inf. Manag. 17 (5), 296, 2019 | 60 | 2019 |
| Experiments on the use of feature selection and machine learning methods in automatic malay text categorization H Alshalabi, S Tiun, N Omar, M Albared Procedia Technology 11, 748-754, 2013 | 55 | 2013 |
| Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm A Al-Saffar, S Awang, H Tao, N Omar, W Al-Saiagh, M Al-Bared PloS one 13 (4), e0194852, 2018 | 49 | 2018 |
| A comparative study of feature selection and machine learning algorithms for Arabic sentiment classification N Omar, M Albared, T Al-Moslmi, A Al-Shabi Information Retrieval Technology: 10th Asia Information Retrieval Societies …, 2014 | 49 | 2014 |
| BLOOM'S TAXONOMY QUESTION CATEGORIZATION USING RULES AND N-GRAM APPROACH. SS Haris, N Omar Journal of Theoretical & Applied Information Technology 76 (3), 2015 | 48 | 2015 |
| An automated arabic text categorization based on the frequency ratio accumulation. BT Sharef, N Omar, ZT Sharef Int. Arab J. Inf. Technol. 11 (2), 213-221, 2014 | 45 | 2014 |
| Twitter hate speech detection: A systematic review of methods, taxonomy analysis, challenges, and opportunities Z Mansur, N Omar, S Tiun IEEE Access 11, 16226-16249, 2023 | 44 | 2023 |
| Short text clustering algorithms, application and challenges: A survey MH Ahmed, S Tiun, N Omar, NS Sani Applied Sciences 13 (1), 342, 2022 | 43 | 2022 |
| Automatic part of speech tagging for Arabic: an experiment using Bigram hidden Markov model M Albared, N Omar, MJA Aziz, MZ Ahmad Nazri Rough Set and Knowledge Technology: 5th International Conference, RSKT 2010 …, 2010 | 43 | 2010 |
| Question classification based on bloom’s taxonomy using enhanced tf-idf M Mohammed, N Omar Int J Adv Sci Eng Inf Technol 8, 1679-1685, 2018 | 41 | 2018 |
