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
Issue
Vol. 9, Issue 17-18 (30 Jun. 2019), pp.13-22, 10 p.
Publisher
Publication Date
2019-06-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
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