• DocumentCode
    3038583
  • Title

    Arabic Text Mining a Systematic Review of the Published Literature 2002-2014

  • Author

    Al-Mahmoud, Hind ; Al-Razgan, Muna

  • Author_Institution
    Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2015
  • fDate
    26-29 April 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Text Mining is a set of techniques that analyzes large masses of data, extract relations that are unknown beforehand, and provide solutions to help decision-making. Text mining had been used extensively to analyze English text. However, text mining has only been used recently in analyzing Arabic text. As a result the objective of this paper is to present the current state of Arabic text mining. A systematic review has been performed to collect the papers published on the analysis of Arabic text mining. More than one hundred papers were used in our review from different reliable sources, and then they were classified according to their specific domain, and classified again according to the specific techniques used. This paper also provides quantitative analysis of publications according to publication type, year, category, and contributors.
  • Keywords
    data analysis; data mining; decision making; feature extraction; natural language processing; Arabic text mining; data analysis; decision making; relation extraction; Electronic publishing; Encyclopedias; Internet; Text categorization; Text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (ICCC), 2015 International Conference on
  • Conference_Location
    Riyadh
  • Print_ISBN
    978-1-4673-6617-5
  • Type

    conf

  • DOI
    10.1109/CLOUDCOMP.2015.7149632
  • Filename
    7149632