KACST Arabic Text Classification Project: Overview and Preliminary Results
KACST Arabic Text Classification Project: Overview and Preliminary Results
Electronically formatted Arabic free-texts can be found in abundance these days on the World Wide Web, often linked to commercial enterprises and/or government organizations. Vast tracts of knowledge and relations lie hidden within these texts, knowledge that can be exploited once the correct intelligent tools have been identified and applied. For example, text mining may help with text classification and categorization. Text classification aims to automatically assign text to a predefined category based on identifiable linguistic features. Such a process has different useful applications including, but not restricted to, E-Mail spam detection, web pages content filtering, and automatic message routing. In this paper an overview of King Abdulaziz City for Science and Technology (KACST) Arabic Text Classification Project will be illustrated along with some preliminary results. This project will contribute to the better understanding and elaboration of Arabic text classification techniques.
Althubaity, A.
5ae57b85-38ee-4cd5-850f-0ca43e353ac9
Almuhareb, A.
7e902bc1-bc0c-4413-9dae-74140745d1b8
Alharbi, S.
aad69823-6db9-419e-8521-2f9a82480aa1
Al-Rajeh, A.
64acb5ae-6e8e-44a0-9afa-edd1658cd0cd
Khorsheed, M.
011bdcec-56ae-44a2-9201-b72394105ab2
January 2008
Althubaity, A.
5ae57b85-38ee-4cd5-850f-0ca43e353ac9
Almuhareb, A.
7e902bc1-bc0c-4413-9dae-74140745d1b8
Alharbi, S.
aad69823-6db9-419e-8521-2f9a82480aa1
Al-Rajeh, A.
64acb5ae-6e8e-44a0-9afa-edd1658cd0cd
Khorsheed, M.
011bdcec-56ae-44a2-9201-b72394105ab2
Althubaity, A., Almuhareb, A., Alharbi, S., Al-Rajeh, A. and Khorsheed, M.
(2008)
KACST Arabic Text Classification Project: Overview and Preliminary Results.
Proceedings of The 9th IBIMA conference on Information Management in Modern Organizations, Marrakech, Morocco.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Electronically formatted Arabic free-texts can be found in abundance these days on the World Wide Web, often linked to commercial enterprises and/or government organizations. Vast tracts of knowledge and relations lie hidden within these texts, knowledge that can be exploited once the correct intelligent tools have been identified and applied. For example, text mining may help with text classification and categorization. Text classification aims to automatically assign text to a predefined category based on identifiable linguistic features. Such a process has different useful applications including, but not restricted to, E-Mail spam detection, web pages content filtering, and automatic message routing. In this paper an overview of King Abdulaziz City for Science and Technology (KACST) Arabic Text Classification Project will be illustrated along with some preliminary results. This project will contribute to the better understanding and elaboration of Arabic text classification techniques.
Text
KACST-Classification.pdf
- Other
More information
Published date: January 2008
Venue - Dates:
Proceedings of The 9th IBIMA conference on Information Management in Modern Organizations, Marrakech, Morocco, 2008-01-01
Organisations:
Electronics & Computer Science, Southampton Wireless Group
Identifiers
Local EPrints ID: 272255
URI: http://eprints.soton.ac.uk/id/eprint/272255
PURE UUID: 34a52529-5b68-4747-a22b-353328a1e43e
Catalogue record
Date deposited: 05 May 2011 18:25
Last modified: 14 Mar 2024 09:50
Export record
Contributors
Author:
A. Althubaity
Author:
A. Almuhareb
Author:
S. Alharbi
Author:
A. Al-Rajeh
Author:
M. Khorsheed
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics