| 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 | 110 | 2012 |
| 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 | 96 | 2017 |
| Arabic machine translation: a survey A Alqudsi, N Omar, K Shaker Artificial Intelligence Review 42 (4), 549-572, 2014 | 74 | 2014 |
| 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 | 70 | 2018 |
| 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 | 69 | 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 | 61 | 2013 |
| 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 | 57 | 2015 |
| Arabic named entity recognition using artificial neural network NF Mohammed, N Omar Journal of Computer Science 8 (8), 1285, 2012 | 53 | 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 | 39 | 2012 |
| 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 | 38 | 2013 |
| A comparative study of feature selection and machine learning algorithms for Arabic sentiment classification N Omar, M Albared, T Al-Moslmi, A Al-Shabi Asia information retrieval symposium, 429-443, 2014 | 37 | 2014 |
| 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 | 37 | 2014 |
| 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 | 35 | 2020 |
| 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 | 34 | 2018 |
| Statistical malay part-of-speech (POS) tagger using Hidden Markov approach H Mohamed, N Omar, MJ Ab Aziz 2011 International Conference on Semantic Technology and Information …, 2011 | 34 | 2011 |
| Automatic part of speech tagging for Arabic: an experiment using Bigram hidden Markov model M Albared, N Omar, MJ Ab Aziz, MZA Nazri International Conference on Rough Sets and Knowledge Technology, 361-370, 2010 | 34 | 2010 |
| Study on feature selection and machine learning algorithms for Malay sentiment classification A Alsaffar, N Omar Proceedings of the 6th International Conference on Information Technology …, 2014 | 32 | 2014 |
| Machine translation of noun phrases from Arabic to English using transfer-based approach O Shirko, N Omar, H Arshad, M Albared Journal of Computer Science 6 (3), 350, 2010 | 31 | 2010 |
| Automatic Arabic text summarization using clustering and keyphrase extraction HN Fejer, N Omar Proceedings of the 6th International Conference on Information Technology …, 2014 | 27 | 2014 |
| A hybrid method using lexicon-based approach and Naive Bayes classifier for Arabic opinion question answering. K Khalifa, N Omar J. Comput. Sci. 10 (10), 1961-1968, 2014 | 27 | 2014 |
