Automatic Arabic Text Classification

Al-Harbi, S, Almuhareb, A, Al-Thubaity , A, Khorsheed, M. S. and Al-Rajeh, A (2008) Automatic Arabic Text Classification. In, Proceedings of The 9th International Conference on the Statistical Analysis of Textual Data, Lyon-, France,


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Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language. Text classification aims to automatically assign the text to a predefined category based on linguistic features. Such a process has different useful applications including, but not restricted to, e-mail spam detection, web page content filtering, and automatic message routing. This paper presents the results of experiments on document classification achieved on seven different Arabic corpora using statistical methodology. The performance of two popular classification algorithms in classifying the aforementioned corpora has been evaluated.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 272254
Date :
Date Event
March 2008Published
Date Deposited: 05 May 2011 18:21
Last Modified: 31 Mar 2016 14:20
Further Information:Google Scholar

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