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http://dx.doi.org/10.22937/IJCSNS.2022.22.3.47

Information Retrieval Systems: Between Morphological Analyzers and Systemming Algorithms  

Mohamed, Afaf Abdel Rhman (Department of Computer Science and Information, College of Science at Zulf, Majmaah University)
Ouni, Chafika (Department of Computer Science and Information, College of Science at Zulf, Majmaah University)
Eljack, Sarah Mustafa (Department of Computer Science and Information, College of Science at Zulf, Majmaah University)
Alfayez, Fayez (Department of Computer Science and Information, College of Science at Zulf, Majmaah University)
Publication Information
International Journal of Computer Science & Network Security / v.22, no.3, 2022 , pp. 375-381 More about this Journal
Abstract
The main objective of an Information Retrieval System (IRS) is to obtain suitable information within a reasonable time to satisfy a user need. To achieve this purpose, an IRS should have a good indexing system that is based on natural language processing.In this context, we focus on the available Arabic language processing techniques for an IRS with the goal of contributing to an improvement in the performance. Our contribution consists of integrating morphological analysis into an IRS in order to compare the impact of morphological analysis with that of stemming algorithms.
Keywords
Arabic language; Information retrieval systems; Morphological analyzer; Stemming algorithms;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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