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 Chapter
Language:English
Published: Springer 2017
Subjects:
Online Access: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
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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.
building UMP Institutional Repository
collection Online Access
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.
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institution Universiti Malaysia Pahang
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language English
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publishDate 2017
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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 Chapter 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
spellingShingle QA76 Computer software
Salloum, Said A.
AlHamad, Ahmad Qasim
Al-Emran, Mostafa
Shaalan, Khaled
A survey of arabic text mining
title 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_short A survey of arabic text mining
title_sort survey of arabic text mining
topic QA76 Computer software
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