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Arabic texts classification based on keywords extraction technique
Joint Authors
Kazim, S. M.
Abd al-Amir, A. Q.
Source
Engineering and Technology Journal
Issue
Vol. 35, Issue 2B (28 Feb. 2017), pp.96-104, 9 p.
Publisher
Publication Date
2017-02-28
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Keyword is useful for a various purposes including labeling, summarizing, indexing, categorization, searching, and clustering.
In this paper we will extract keywords from the Arabic text in order to classify it.
The proposed system classify any Arabic text through simple statistic and linguistic approaches by extracting the keywords of the text (with their frequency that appear in the text) depending on a Date Base of a particular field (in this work we choose computer science field).
This Data Base is represented using one B+ tree for keywords and the other DataBase for non-keywords.
The proposed system was implemented using Visual Prolog 5.1, and after testing, it proved to be a valuable for Arabic text classification (From the viewpoint of accuracy and search time).
American Psychological Association (APA)
Kazim, S. M.& Abd al-Amir, A. Q.. 2017. Arabic texts classification based on keywords extraction technique. Engineering and Technology Journal،Vol. 35, no. 2B, pp.96-104.
https://search.emarefa.net/detail/BIM-808642
Modern Language Association (MLA)
Kazim, S. M.& Abd al-Amir, A. Q.. Arabic texts classification based on keywords extraction technique. Engineering and Technology Journal Vol. 35, no. 2B (2017), pp.96-104.
https://search.emarefa.net/detail/BIM-808642
American Medical Association (AMA)
Kazim, S. M.& Abd al-Amir, A. Q.. Arabic texts classification based on keywords extraction technique. Engineering and Technology Journal. 2017. Vol. 35, no. 2B, pp.96-104.
https://search.emarefa.net/detail/BIM-808642
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 104
Record ID
BIM-808642