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 | 89 | 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 | 65 | 2017 |
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 | 64 | 2004 |
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 | 57 | 2018 |
Arabic machine translation: a survey A Alqudsi, N Omar, K Shaker Artificial Intelligence Review 42 (4), 549-572, 2014 | 56 | 2014 |
Perceptions towards classroom participation: a case study of Malaysian undergraduate students SM Mustapha, NSN Abd Rahman, MM Yunus Procedia-Social and Behavioral Sciences 7, 113-121, 2010 | 54* | 2010 |
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 | 52 | 2013 |
Arabic named entity recognition using artificial neural network NF Mohammed, N Omar Journal of Computer Science 8 (8), 1285, 2012 | 48 | 2012 |
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 | 39 | 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 | 32 | 2014 |
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 | 31 | 2014 |
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 | 30 | 2012 |
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 | 30 | 2010 |
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 | 30 | 2010 |
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 | 29 | 2011 |
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 (1), 748-754, 2013 | 27 | 2013 |
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 | 25 | 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 | 22 | 2014 |
Arabic text classification using k-nearest neighbour algorithm R Alhutaish, N Omar Int. Arab J. Inf. Technol.(IAJIT) 12, 190-195, 2015 | 21 | 2015 |
Arabic named entity recognition in crime documents M Asharef, N Omar, M Albared, Z Minhui, W Weiming, Z Jingjing Journal of Theoretical and Applied Information Technology 44 (1), 1-6, 2012 | 21 | 2012 |