• DocumentCode
    2960205
  • Title

    Arabic text categorization based on rough set classification

  • Author

    Yahia, Moawia Elfaki

  • Author_Institution
    Coll. of Comput. Sci. & Inf. Technol., King Faisal Univ., Alhasa, Saudi Arabia
  • fYear
    2011
  • fDate
    27-30 Dec. 2011
  • Firstpage
    293
  • Lastpage
    294
  • Abstract
    The process of text categorization has been used in many applications and areas. Classifying of Arabic texts is different than classifying of English texts because Arabic is highly inflectional and derivational language which makes monophonical analysis a very complex task. This short paper has made a review of some researches in Arabic text categorization, and recent works for adopting rough sets theory in the field of text mining and text categorization, with investigation of use of its classification in Arabic text categorization.
  • Keywords
    natural language processing; pattern classification; rough set theory; text analysis; Arabic text categorization; English texts; derivational language; inflectional language; monophonical analysis; rough set classification; text mining; Classification algorithms; Cognition; Computer science; Feature extraction; Rough sets; Support vector machines; Text categorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2011 9th IEEE/ACS International Conference on
  • Conference_Location
    Sharm El-Sheikh
  • ISSN
    2161-5322
  • Print_ISBN
    978-1-4577-0475-8
  • Electronic_ISBN
    2161-5322
  • Type

    conf

  • DOI
    10.1109/AICCSA.2011.6126590
  • Filename
    6126590