• DocumentCode
    3238058
  • Title

    Content analysis based on text mining using genetic algorithm

  • Author

    Mukherjee, Indrajit ; Al-Fayoumi, Mohammad ; Mahanti, P.K. ; Jha, Ritesh ; Al-Bidewi, Ibrahim

  • Author_Institution
    Dept. of Comput. Sci., Birla Inst. of Technol. Mesra, Mesra, India
  • fYear
    2010
  • fDate
    2-4 Nov. 2010
  • Firstpage
    432
  • Lastpage
    436
  • Abstract
    This paper proposes a method employing text mining techniques to analyze e-mails collected at various source. The method inputs the subject and the body of an email and decides a text class for the e-mail. Also, the method extracts key concepts from e-mails and presents their statistical information. The results of numerical experiments indicate that acquired concept relation dictionaries correspond to the intuition of operators in the customer center and give highly precise ratios in the classification.
  • Keywords
    data mining; electronic mail; genetic algorithms; statistical analysis; text analysis; concept relation dictionaries; content analysis; e-mail analysis; genetic algorithm; statistical information; text mining; Electronic mail; Lead; Navigation; Portable computers; GA based Rule induction learning; Text mining; e-mail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Technology and Development (ICCTD), 2010 2nd International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-8844-5
  • Electronic_ISBN
    978-1-4244-8845-2
  • Type

    conf

  • DOI
    10.1109/ICCTD.2010.5645835
  • Filename
    5645835