• DocumentCode
    658385
  • Title

    Style Features for Authors in Two Languages

  • Author

    Stuart, Lauren M. ; Tazhibayeva, Saltanat ; Wagoner, Amy R. ; Taylor, J.M.

  • Author_Institution
    CERIAS (Center for Educ. & Res. in Inf. Assurance & Security), Purdue Univ., West Lafayette, IN, USA
  • Volume
    1
  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    459
  • Lastpage
    464
  • Abstract
    Stylometry is the measurement of certain expressible features of writing style, and its uses include the characterization of authors for recognition in cases of text whose authorship is disputed or unknown. This work builds upon previous investigation into the success of a particular feature set on a particular corpus. We explore the creation and testing of a small corpus spanning multiple languages and character sets, and the building of a feature set for use in author attribution problems over that corpus. In-depth analysis of results is used to motivate further work.
  • Keywords
    natural language processing; text analysis; English; Russian; authorship attribution; style analysis; style features; stylometry; text authorship; Accuracy; Buildings; Complexity theory; Error analysis; Frequency measurement; Syntactics; English; Russian; authorship attribution; style analysis; stylistics; stylometry; text authorship;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4799-2902-3
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2013.65
  • Filename
    6690051