| 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 | 144 | 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 | 107 | 2018 |
| Ensemble of Classification Algorithms for Subjectivity and Sentiment Analysis of Arabic Customers' Reviews N Omar, M Albared, A Al-Shabi, T Al-Moslmi International Journal of Advancements in Computing Technology 14 (5), 2013 | 74 | 2013 |
| 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 | 52 | 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 Information Retrieval Technology: 10th Asia Information Retrieval Societies …, 2014 | 47 | 2014 |
| 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 | 46 | 2018 |
| Comparative study of k-means and k-means++ clustering algorithms on crime domain BH Aubaidan UKM, Bangi, 2014 | 41 | 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 | 39 | 2010 |
| Automatic part of speech tagging for Arabic: an experiment using Bigram hidden Markov model M Albared, N Omar, M Aziz, M Ahmad Nazri Rough set and knowledge technology, 361-370, 2010 | 39 | 2010 |
| ARABIC NAMED ENTITY RECOGNITION IN CRIME DOCUMENTS M ASHAREF, N OMAR, M ALBARED Journal of Theoretical and Applied Information Technology 44 (1), 2012 | 29 | 2012 |
| Developing a competitive HMM arabic POS tagger using small training corpora M Albared, N Omar, M Ab Aziz Intelligent Information and Database Systems, 288-296, 2011 | 27 | 2011 |
| Cross-lingual sentiment classification from english to arabic using machine translation A Al-Shabi, A Adel, N Omar, T Al-Moslmi Int. J. Adv. Comput. Sci. Appl 8 (12), 434-440, 2017 | 23 | 2017 |
| Feature Selection Methods Effects on Machine Learning Approaches in Malay Sentiment Analysis NO Tareq Al-Moslmi , Shamsan Gaber , Adel Al-Shabi , Mohammed Albared International Conference on Innovation in Science and Technology (IICIST …, 2015 | 21* | 2015 |
| ARABIC TERM EXTRACTION USING COMBINED APPROACH ON ISLAMIC DOCUMENT. ALI Mashaan Abed, S Tiun, M Albared Journal of Theoretical & Applied Information Technology 58 (3), 2013 | 21 | 2013 |
| Feature selection method based on statistics of compound words for arabic text classification. A Adel, N Omar, M Albared, A Al-Shabi Int. Arab J. Inf. Technol. 16 (2), 178-185, 2019 | 17 | 2019 |
| Recent progress of named entity recognition over the most popular datasets TAM M Albared,T Al-Moslmi, M Gallofré Ocaña, A Ghareb International Conference of Intelligent Computing and Engineering (ICOICE 2019), 2019 | 12 | 2019 |
| Arabic part of speech disambiguation: A survey M Albared, N Omar, MJ Ab Aziz International Review on Computers and Software 4 (5), 517-532, 2009 | 12 | 2009 |
| Enhanced Malay sentiment analysis with an ensemble classification machine learning approach T Al-Moslmi, N Omar, M Albared, A Alshabi Journal of Engineering and Applied Sciences 12 (20), 5226-5232, 2017 | 10 | 2017 |
| Automatic Kurdish Sorani text categorization using N-gram based model FS Mohammed, L Zakaria, N Omar, M Albared Computer & Information Science (ICCIS), 2012 International Conference on 1 …, 2012 | 10 | 2012 |
| Extraction of spatial relation in Arabic text using rule-based approach FA Alnairia, N Omar, M Albared International Journal of Advancements in Computing Technology 4 (15), 172-178, 2012 | 9 | 2012 |
Nazlia OmarAssociate Professor, Universiti Kebangsaan MalaysiaVerified email at ukm.edu.my
