Finding Participants in a Chat: Authorship Attribution for Conversational Documents

Inches, Giacomo, Harvey, Morgan and Crestani, Fabio (2013) Finding Participants in a Chat: Authorship Attribution for Conversational Documents. In: 2013 International Conference on Social Computing (SocialCom). IEEE, Piscataway, NJ, pp. 272-279. ISBN 978-0-7695-5137-1

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Official URL: http://dx.doi.org/10.1109/SocialCom.2013.45

Abstract

In this work we study the problem of Authorship Attribution for a novel set of documents, namely online chats. Although the problem of Authorship Attribution has been extensively investigated for different document types, from books to letters and from emails to blog posts, to the best of our knowledge this is the first study of Authorship Attribution for conversational documents (IRC chat logs) using statistical models. We experimentally demonstrate the unsuitability of the classical statistical models for conversational documents and propose a novel approach which is able to achieve a high accuracy rate (up to 95%) for hundreds of authors.

Item Type: Book Section
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Mathematics and Information Sciences
Depositing User: Morgan Harvey
Date Deposited: 27 Apr 2015 11:26
Last Modified: 10 Nov 2016 12:38
URI: http://nrl.northumbria.ac.uk/id/eprint/22219

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