Contextual text categorization : an improved stemming algorithm to increase the quality of categorization in Arabic text
Joint Authors
Qadri, Said
Musawi, Abd al-Wahhab
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 6 (30 Nov. 2017)7 p.
Publisher
Publication Date
2017-11-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
One of the methods used to reduce the size of terms vocabulary in Arabic text categorization is to replace the different variants (forms) of words by their common root.
This process is called stemming based on the extraction of the root.
Therefore, the search of the root in Arabic or Arabic word root extraction is more difficult than in other languages since the Arabic language has a very different and difficult structure, that is because it is a very rich language with complex morphology.
Many algorithms are proposed in this field.
Some of them are based on morphological rules and grammatical patterns, thus they are quite difficult and require deep linguistic knowledge.
Others are statistical, so they are less difficult and based only on some calculations.
In this paper we propose an improved stemming algorithm based on the extraction of the root and the technique of n-grams which permit to return Arabic words’ stems without using any morphological rules or grammatical patterns
American Psychological Association (APA)
Qadri, Said& Musawi, Abd al-Wahhab. 2017. Contextual text categorization : an improved stemming algorithm to increase the quality of categorization in Arabic text. The International Arab Journal of Information Technology،Vol. 14, no. 6.
https://search.emarefa.net/detail/BIM-853083
Modern Language Association (MLA)
Qadri, Said& Musawi, Abd al-Wahhab. Contextual text categorization : an improved stemming algorithm to increase the quality of categorization in Arabic text. The International Arab Journal of Information Technology Vol. 14, no. 6 (Nov. 2017).
https://search.emarefa.net/detail/BIM-853083
American Medical Association (AMA)
Qadri, Said& Musawi, Abd al-Wahhab. Contextual text categorization : an improved stemming algorithm to increase the quality of categorization in Arabic text. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 6.
https://search.emarefa.net/detail/BIM-853083
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-853083