Arabic text classification: Review study

Hijazi, Musab Mustafa and Zeki, Akram M. and Ismail, Amelia Ritahani (2016) Arabic text classification: Review study. Journal of Engineering and Applied Science, 11 (3). pp. 528-536. ISSN 1816-949X E-ISSN 1818-7803

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Abstract

An enormous amount of valuable human knowledge is preserved in documents. The rapid growth in the number of machine-readable documents for public or private access requires the use of automatic text classification. Text classification can be defined as assigning or structuring documents into a defined set of classes known in advance. Arabic text classification methods have emerged as a natural result of the existence of a massive amount of varied textual information written in the Arabic language on the web. This paper presents a review on the published researches of Arabic Text Classification using classical data representation, Bag of words (BoW), and using conceptual data representation based on semantic resources such as Arabic WordNet and Wikipedia

Item Type:	Article (Journal)
Additional Information:	6153/51845
Uncontrolled Keywords:	Advanced, Arabic, human, amount, rapid
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Amelia Ritahani Ismail
Date Deposited:	06 Sep 2016 10:49
Last Modified:	21 Mar 2017 17:38
URI:	http://irep.iium.edu.my/id/eprint/51845

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