R
Riyad Al-Shalabi
Researcher at Amman Arab University
Publications - 41
Citations - 868
Riyad Al-Shalabi is an academic researcher from Amman Arab University. The author has contributed to research in topics: Query expansion & Language identification. The author has an hindex of 16, co-authored 38 publications receiving 805 citations. Previous affiliations of Riyad Al-Shalabi include Illinois Institute of Technology & Yarmouk University.
Papers
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Proceedings ArticleDOI
A computational morphology system for Arabic
Riyad Al-Shalabi,Martha Evens +1 more
TL;DR: A new algorithm for morphological analysis of Arabic words, which has been tested on a corpus of 242 abstracts from the Saudi Arabian National Computer Conference, runs an order of magnitude faster than other algorithms in the literature.
Improving KNN Arabic Text Classification with N-Grams Based Document Indexing
Riyad Al-Shalabi,Rasha Obeidat +1 more
TL;DR: This paper presents the results of classifying Arabic language documents by applying the KNN classifier, one time by using N-Gram namely unigrams and bigrams in documents indexing, and another time by traditional single terms indexing method (bag of words).
Proceedings ArticleDOI
Enhanced Algorithm for Extracting the Root of Arabic Words
TL;DR: An enhanced root-based algorithm is introduced that handles the problems of affixes, including prefixes, suffixes, and infixes depending on the morphological pattern of the word.
Journal IssueDOI
A comparison of text-classification techniques applied to Arabic text
TL;DR: The research results reveal that Naive Bayes was the best performer, followed by kNN and Rocchio, and naive Bayes algorithms in an implementation of three automatic text-classification techniques for Arabic text.
Proceedings ArticleDOI
Stop-word removal algorithm for Arabic language
TL;DR: The new Arabic removal stop-word technique has been tested using a set of 242 Arabic abstracts chosen from the Proceedings of the Saudi Arabian National Computer conferences, and another set of data choosing from the holy Q'uran, and it gives impressive results that reached approximately to 98%.