Nazlia Omar
Nazlia Omar
Associate Professor, Universiti Kebangsaan Malaysia
Verified email at - Homepage
Cited by
Cited by
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
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
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
Arabic machine translation: a survey
A Alqudsi, N Omar, K Shaker
Artificial Intelligence Review 42, 549-572, 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
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
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
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
Arabic named entity recognition using artificial neural network
NF Mohammed, N Omar
Journal of Computer Science 8 (8), 1285, 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
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
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
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
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
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
Arabic text classification using k-nearest neighbour algorithm
R Alhutaish, N Omar
The International Arab Journal of Information Technology 12 (2), 190-195, 2015
Automatic Arabic text summarization using clustering and keyphrase extraction
HN Fejer, N Omar
Proceedings of the 6th International Conference on Information Technology …, 2014
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
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
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
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