DocumentCode
3038583
Title
Arabic Text Mining a Systematic Review of the Published Literature 2002-2014
Author
Al-Mahmoud, Hind ; Al-Razgan, Muna
Author_Institution
Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia
fYear
2015
fDate
26-29 April 2015
Firstpage
1
Lastpage
7
Abstract
Text Mining is a set of techniques that analyzes large masses of data, extract relations that are unknown beforehand, and provide solutions to help decision-making. Text mining had been used extensively to analyze English text. However, text mining has only been used recently in analyzing Arabic text. As a result the objective of this paper is to present the current state of Arabic text mining. A systematic review has been performed to collect the papers published on the analysis of Arabic text mining. More than one hundred papers were used in our review from different reliable sources, and then they were classified according to their specific domain, and classified again according to the specific techniques used. This paper also provides quantitative analysis of publications according to publication type, year, category, and contributors.
Keywords
data analysis; data mining; decision making; feature extraction; natural language processing; Arabic text mining; data analysis; decision making; relation extraction; Electronic publishing; Encyclopedias; Internet; Text categorization; Text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (ICCC), 2015 International Conference on
Conference_Location
Riyadh
Print_ISBN
978-1-4673-6617-5
Type
conf
DOI
10.1109/CLOUDCOMP.2015.7149632
Filename
7149632
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