Arabic text classification using maximum weight algorithm

Other Title(s)

تصنيف النصوص العربية باستخدام الوزن الأقصى

Joint Authors

Ulaywi, Ahmad Husayn
Abu Tuhayn, Zaynah Abd al-Rida
al-Janabi, Kazim S.

Source

Albahir Journal

Issue

Vol. 9, Issue 17-18 (30 Jun. 2019), pp.13-22, 10 p.

Publisher

al-Abbas Holy Shrine

Publication Date

2019-06-30

Country of Publication

Iraq

No. of Pages

10

Main Subjects

Law

Topics

Abstract EN

Many algorithms of classification implemented to the issue of text categorization.

A large portion of the work implemented in the English text.

On the otherhand, very few researchers implemented in the Arabic text.

The nature of Arabictext is very different than English text, and the preprocessing of the Arabictext is extremely difficult and more challenging.

In this paper, Maximum Weight(MW) algorithm applied after preprocessing on the Arabic dataset that consists of(16757) text files used for the first time.

The results showed that MW is applicableto Arabic text, it reached about (0.83) on average.

10-fold cross-validation used tothe reliability of the result.

American Psychological Association (APA)

Abu Tuhayn, Zaynah Abd al-Rida& Ulaywi, Ahmad Husayn& al-Janabi, Kazim S.. 2019. Arabic text classification using maximum weight algorithm. Albahir Journal،Vol. 9, no. 17-18, pp.13-22.
https://search.emarefa.net/detail/BIM-1291733

Modern Language Association (MLA)

Abu Tuhayn, Zaynah Abd al-Rida…[et al.]. Arabic text classification using maximum weight algorithm. Albahir Journal Vol. 9, no. 17-18 (Jun. 2019), pp.13-22.
https://search.emarefa.net/detail/BIM-1291733

American Medical Association (AMA)

Abu Tuhayn, Zaynah Abd al-Rida& Ulaywi, Ahmad Husayn& al-Janabi, Kazim S.. Arabic text classification using maximum weight algorithm. Albahir Journal. 2019. Vol. 9, no. 17-18, pp.13-22.
https://search.emarefa.net/detail/BIM-1291733

Data Type

Journal Articles

Language

English

Notes

-

Record ID

BIM-1291733