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
Link To Document