A survey of arabic text mining

Recently, text mining has become an interesting research field due to the huge amount of existing text on the web. Text mining is an essential field in the context of data mining for discovering interesting patterns in textual data. Examining and extracting of such information patterns from huge dat...

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Main Authors:	Salloum, Said A., AlHamad, Ahmad Qasim, Al-Emran, Mostafa, Shaalan, Khaled
Format:	Book Section
Language:	English
Published:	Springer 2017
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/21630/ http://umpir.ump.edu.my/id/eprint/21630/ http://umpir.ump.edu.my/id/eprint/21630/ http://umpir.ump.edu.my/id/eprint/21630/1/6.%20A%20Survey%20of%20Arabic%20Text%20Mining.pdf

id	ump-21630
recordtype	eprints
spelling	ump-216302019-03-20T04:25:18Z http://umpir.ump.edu.my/id/eprint/21630/ A survey of arabic text mining Salloum, Said A. AlHamad, Ahmad Qasim Al-Emran, Mostafa Shaalan, Khaled QA76 Computer software Recently, text mining has become an interesting research field due to the huge amount of existing text on the web. Text mining is an essential field in the context of data mining for discovering interesting patterns in textual data. Examining and extracting of such information patterns from huge datasets is considered as a crucial process. A lot of survey studies were conducted for the purpose of using various text mining methods for unstructured datasets. It has been noticed that comprehensive survey studies in the Arabic context were neglected. This study aims to give a broad review of various studies related to the Arabic text mining with more focus on the Holy Quran, sentiment analysis, and web documents. Furthermore, the synthesis of the research problems and methodologies of the surveyed studies will help the text mining scholars in pursuing their future studies. Springer 2017-11-18 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21630/1/6.%20A%20Survey%20of%20Arabic%20Text%20Mining.pdf Salloum, Said A. and AlHamad, Ahmad Qasim and Al-Emran, Mostafa and Shaalan, Khaled (2017) A survey of arabic text mining. In: Intelligent natural language processing: trends and applications. Springer, Berlin, Germany, pp. 417-431. ISBN 978-3-319-67056-0 https://doi.org/10.1007/978-3-319-67056-0_20 https://doi.org/10.1007/978-3-319-67056-0_20
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Salloum, Said A. AlHamad, Ahmad Qasim Al-Emran, Mostafa Shaalan, Khaled A survey of arabic text mining
description	Recently, text mining has become an interesting research field due to the huge amount of existing text on the web. Text mining is an essential field in the context of data mining for discovering interesting patterns in textual data. Examining and extracting of such information patterns from huge datasets is considered as a crucial process. A lot of survey studies were conducted for the purpose of using various text mining methods for unstructured datasets. It has been noticed that comprehensive survey studies in the Arabic context were neglected. This study aims to give a broad review of various studies related to the Arabic text mining with more focus on the Holy Quran, sentiment analysis, and web documents. Furthermore, the synthesis of the research problems and methodologies of the surveyed studies will help the text mining scholars in pursuing their future studies.
format	Book Section
author	Salloum, Said A. AlHamad, Ahmad Qasim Al-Emran, Mostafa Shaalan, Khaled
author_facet	Salloum, Said A. AlHamad, Ahmad Qasim Al-Emran, Mostafa Shaalan, Khaled
author_sort	Salloum, Said A.
title	A survey of arabic text mining
title_short	A survey of arabic text mining
title_full	A survey of arabic text mining
title_fullStr	A survey of arabic text mining
title_full_unstemmed	A survey of arabic text mining
title_sort	survey of arabic text mining
publisher	Springer
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/21630/ http://umpir.ump.edu.my/id/eprint/21630/ http://umpir.ump.edu.my/id/eprint/21630/ http://umpir.ump.edu.my/id/eprint/21630/1/6.%20A%20Survey%20of%20Arabic%20Text%20Mining.pdf
first_indexed	2023-09-18T22:31:49Z
last_indexed	2023-09-18T22:31:49Z
_version_	1777416336401498112

A survey of arabic text mining

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