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 :
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