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
Link To Document :
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