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Intelligent Natural Language Processing: Trends and Applications pp 417–431Cite as

A Survey of Arabic Text Mining

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 740))

Abstract

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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Author information

Authors and Affiliations

  1. Faculty of Engineering & IT, The British University in Dubai, Dubai, UAE

    Said A. Salloum & Khaled Shaalan

  2. University of Fujairah, Fujairah, UAE

    Said A. Salloum & Ahmad Qasim AlHamad

  3. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Pahang, Malaysia

    Mostafa Al-Emran

  4. Al Buraimi University College, Al Buraimi, Oman

    Mostafa Al-Emran

Authors
  1. Said A. Salloum
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  2. Ahmad Qasim AlHamad
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  3. Mostafa Al-Emran
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  4. Khaled Shaalan
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Corresponding author

Correspondence to Said A. Salloum .

Editor information

Editors and Affiliations

  1. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  2. Faculty of Computers and Information Technology, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  3. Faculty of Computers and Information, Ain Shams University, Cairo, Egypt

    Fahmy Tolba

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Salloum, S.A., AlHamad, A.Q., Al-Emran, M., Shaalan, K. (2018). A Survey of Arabic Text Mining. In: Shaalan, K., Hassanien, A., Tolba, F. (eds) Intelligent Natural Language Processing: Trends and Applications. Studies in Computational Intelligence, vol 740. Springer, Cham. https://doi.org/10.1007/978-3-319-67056-0_20

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  • DOI: https://doi.org/10.1007/978-3-319-67056-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67055-3

  • Online ISBN: 978-3-319-67056-0

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