• DocumentCode
    2630583
  • Title

    Evaluation of authorship attribution software on a Chat bot corpus

  • Author

    Ali, Nawaf ; Hindi, Musa ; Yampolskiy, Roman V.

  • Author_Institution
    J.B. Speed Sch. of Eng., Univ. of Louisville, Louisville, KY, USA
  • fYear
    2011
  • fDate
    27-29 Oct. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Authorship recognition is a technique used to identify the author of an unclaimed document, or in case when more than one author claims a document. Authorship recognition has great potential for applications in Computer forensics. The intended goal of this research is to identify a Chat bot by analyzing conversation log files. This is a novel area of investigation, as artificially intelligent authors have not been profiled based on their linguistic behavior. The collected data comes from chat logs between different Chat Bots and between Chat Bots and Human users. The initial experiments utilizing collected data demonstrate the feasibility of our approach.
  • Keywords
    artificial intelligence; computer forensics; text analysis; authorship attribution software; authorship recognition; chat bot corpus; computer forensics; conversation log files; Accuracy; Computer science; Computers; Educational institutions; Entropy; Feature extraction; Humans; Authorship attribution; Authorship recognition; Chat bot; JGAAP; Stylometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communication and Automation Technologies (ICAT), 2011 XXIII International Symposium on
  • Conference_Location
    Sarajevo
  • Print_ISBN
    978-1-4577-0744-5
  • Type

    conf

  • DOI
    10.1109/ICAT.2011.6102123
  • Filename
    6102123