Proposed Arabic information retrieval system using cat swarm optimization
Author
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 11, Issue 3 (30 Sep. 2019), pp.1-6, 6 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2019-09-30
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Arabic language and Literature
Topics
Abstract EN
According to the recently published research, the developed Information Retrieval systems are concerned with English language documents compared to all others in Arabic language.
لإthe morphological difficulty of Arabic language increases the concerns for the availability of Arabic test copora.
Therefore, This paper presents an Arabic information retrieval system for text documents.
The proposed algorithm uses Cat Swarm Optimization to select the most important features with the cosine similarity.
In addition, it finds the most relevant document to user query.
The simulation results in using the standard NLEL of Arabic dataset corpus.
The proposed algorithm for Arabic document retrieval uses swarm optimization with cosine similarity which provides effectively with accuracy 81.4%.
American Psychological Association (APA)
Abd Hasan, Alia Karim. 2019. Proposed Arabic information retrieval system using cat swarm optimization. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 11, no. 3, pp.1-6.
https://search.emarefa.net/detail/BIM-900671
Modern Language Association (MLA)
Abd Hasan, Alia Karim. Proposed Arabic information retrieval system using cat swarm optimization. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 11, no. 3 (2019), pp.1-6.
https://search.emarefa.net/detail/BIM-900671
American Medical Association (AMA)
Abd Hasan, Alia Karim. Proposed Arabic information retrieval system using cat swarm optimization. al-Qadisiyah Journal for Computer Science and Mathematics. 2019. Vol. 11, no. 3, pp.1-6.
https://search.emarefa.net/detail/BIM-900671
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 6
Record ID
BIM-900671