User profiles for Nazlia Omar
Nazlia OmarAssociate Professor, Universiti Kebangsaan Malaysia Verified email at ukm.edu.my Cited by 3664 |
Approaches to cross-domain sentiment analysis: A systematic literature review
A sentiment analysis has received a lot of attention from researchers working in the fields of
natural language processing and text mining. However, there is a lack of annotated data sets …
natural language processing and text mining. However, there is a lack of annotated data sets …
Twitter hate speech detection: A systematic review of methods, taxonomy analysis, challenges, and opportunities
Hate speech detection has substantially increased interest among researchers in the domain
of natural language processing (NLP) and text mining. The number of studies on this topic …
of natural language processing (NLP) and text mining. The number of studies on this topic …
Short text clustering algorithms, application and challenges: a survey
The number of online documents has rapidly grown, and with the expansion of the Web,
document analysis, or text analysis, has become an essential task for preparing, storing, …
document analysis, or text analysis, has become an essential task for preparing, storing, …
Automated analysis of exam questions according to Bloom's taxonomy
Bloom's Taxonomy is a classification of learning objectives within education that educators
set for students. The cognitive domain within this taxonomy is designed to verify a student's …
set for students. The cognitive domain within this taxonomy is designed to verify a student's …
Question classification based on Bloom's taxonomy cognitive domain using modified TF-IDF and word2vec
M Mohammed, N Omar - PloS one, 2020 - journals.plos.org
The assessment of examination questions is crucial in educational institutes since examination
is one of the most common methods to evaluate students’ achievement in specific course…
is one of the most common methods to evaluate students’ achievement in specific course…
Arabic senti-lexicon: Constructing publicly available language resources for Arabic sentiment analysis
Sentiment analysis is held to be one of the highly dynamic recent research fields in Natural
Language Processing, facilitated by the quickly growing volume of Web opinion data. Most of …
Language Processing, facilitated by the quickly growing volume of Web opinion data. Most of …
[PDF][PDF] Exam questions classification based on Bloom's taxonomy cognitive level using classifiers combination
DA Abduljabbar, N Omar - Journal of Theoretical and Applied …, 2015 - researchgate.net
Assessment through written examination is a traditional method but it is a universal test
method practiced in most of the educational institutions today. Therefore, the question must be …
method practiced in most of the educational institutions today. Therefore, the question must be …
Arabic machine translation: a survey
Although there is no machine learning technique that fully meets human requirements, finding
a quick and efficient translation mechanism has become an urgent necessity, due to the …
a quick and efficient translation mechanism has become an urgent necessity, due to the …
[PDF][PDF] Ensemble of classification algorithms for subjectivity and sentiment analysis of Arabic customers' reviews
Sentiment Analysis is a very challenging and important task that contains natural language
processing, web mining and machine learning. Up to date, few researches have been …
processing, web mining and machine learning. Up to date, few researches have been …
[PDF][PDF] Corpus-Based Techniques for Sentiment Lexicon Generation: A Review.
State-of-the-art sentiment analysis systems rely on a sentiment lexicon, which is the most
essential feature that drives their performance. This resource is indispensable for, and greatly …
essential feature that drives their performance. This resource is indispensable for, and greatly …