International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 8, Issue 1 (January 2021), Pages: 11-19

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 Original Research Paper

 Title: Text mining: A survey of Arabic root extraction algorithms

 Author(s): Manar Ahmed Mohammed Hamza 1, 2, Tarig Mohamed Ahmed 3, 4, Anwer Mustafa Mohamedsalih Hilal 1, 2, *

 Affiliation(s):

 1Department of Computer and Self Development, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia
 2Faculty of Computer Science and Information Technology, Omdurman Islamic University, Omdurman, Sudan
 3Department of Information Technology, Faculty of Computing and Information Technology, King Abdul-Aziz University, Jeddah, Saudi Arabia
 4Department of Computer Sciences, University of Khartoum, Khartoum, Sudan

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-4658-8941

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2021.01.002

 Abstract:

In all Arab countries, the Arabic language is the official language spoken and written and is one of the oldest known languages. This paper aims to explain and discuss the work done on extracting the root of the Arabic word and Stemming algorithms. Text mining has become of interest to scientists, researchers, and users because of the existence of big data and deep learning algorithms that can analyze giant sets of unstructured data. The basic algorithms are used to extract and classify texts, information retrieval systems, and indexes. Algorithms are used to extract the root of a word from different natural languages. This paper will present a brief background and comprehensive presentation of a number of algorithms that handle the Arabic text to extract the word root in its light, heavy, hybrid, leading, and Markovian form. There are a number of papers, articles, and research papers that deal with extracting the Arabic root from the word. This paper will present a brief background for a number of stemming algorithms on how to extracting the root and stem of the Arabic word, then make a comparison and discussion of a number of selected algorithms in terms of accuracy, data set, method of stemming regarding of strengths and weakness. 

 © 2020 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Accuracy, Arabic word root, Stemming algorithm, Text mining

 Article History: Received 6 May 2020, Received in revised form 22 July 2020, Accepted 17 August 2020

 Acknowledgment:

This publication was supported by the Deanship of Scientific Research at Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

  Hamza MAM, Ahmed TM, and Hilal AMM (2021). Text mining: A survey of Arabic root extraction algorithms. International Journal of Advanced and Applied Sciences, 8(1): 11-19

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