• DocumentCode
    2000803
  • Title

    A survey of cross-domain text categorization techniques

  • Author

    Murty, M. Ramakrishna ; Murthy, J.V.R. ; Prasad Reddy, P.V.G.D. ; Satapathy, S.C.

  • Author_Institution
    Dept. of CSE, GMRIT, Rajam, India
  • fYear
    2012
  • fDate
    15-17 March 2012
  • Firstpage
    499
  • Lastpage
    504
  • Abstract
    Text Mining is important, emerging, research area, because plenty of text resources growing rapidly through the internet and digital world. In the text data analysis text categorization is one of the vital techniques. Traditional text categorization methods are not able to handle well with learning across different domains. Cross-domain classification is more challenging problem than single domain classification problem. In this paper survey of cross-domain text categorization techniques have been presented.
  • Keywords
    data mining; text analysis; Internet; cross-domain classification; cross-domain text categorization; digital world; text data analysis; text mining; text resources; Blogs; Classification algorithms; Computers; Equations; Mathematical model; Training; Cross-domain; Text Document; categorization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Information Technology (RAIT), 2012 1st International Conference on
  • Conference_Location
    Dhanbad
  • Print_ISBN
    978-1-4577-0694-3
  • Type

    conf

  • DOI
    10.1109/RAIT.2012.6194629
  • Filename
    6194629