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Journal of Al-Qadisiyah for Computer Science and Mathematics

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Proposed Arabic Information Retrieval System Using Cat Swarm Optimization

    Alia karim Abdul Hassan

Journal of Al-Qadisiyah for Computer Science and Mathematics, 2019, Volume 11, Issue 3, Pages 1-6

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Abstract

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%.
Keywords:
    KEYWORDS retrieval Arabic NLEL Cat Optimization Feature Selection
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(2019). Proposed Arabic Information Retrieval System Using Cat Swarm Optimization. Journal of Al-Qadisiyah for Computer Science and Mathematics, 11(3), 1-6.
Alia karim Abdul Hassan . "Proposed Arabic Information Retrieval System Using Cat Swarm Optimization". Journal of Al-Qadisiyah for Computer Science and Mathematics, 11, 3, 2019, 1-6.
(2019). 'Proposed Arabic Information Retrieval System Using Cat Swarm Optimization', Journal of Al-Qadisiyah for Computer Science and Mathematics, 11(3), pp. 1-6.
Proposed Arabic Information Retrieval System Using Cat Swarm Optimization. Journal of Al-Qadisiyah for Computer Science and Mathematics, 2019; 11(3): 1-6.
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