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Automatic Arabic Text Classification

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

Record type: Conference or Workshop Item (Paper)

Abstract

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.

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More information

Published date: March 2008
Venue - Dates: Proceedings of The 9th International Conference on the Statistical Analysis of Textual Data, France, 2008-03-01
Organisations: Electronics & Computer Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 272254
URI: http://eprints.soton.ac.uk/id/eprint/272254
PURE UUID: d9af8b3d-f7a5-402c-9db0-10a438968fb2

Catalogue record

Date deposited: 05 May 2011 18:21
Last modified: 18 Jul 2017 06:32

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Contributors

Author: S Al-Harbi
Author: A Almuhareb
Author: A Al-Thubaity
Author: M. S. Khorsheed
Author: A Al-Rajeh

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