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Authorship Analysis: Techniques and Challenges

Authorship Analysis: Techniques and Challenges
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Author(s): Athira U. (LBS Center for Science and Technology, India)and Sabu M. Thampi (IIITMK, India)
Copyright: 2017
Pages: 22
Source title: Artificial Intelligence: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1759-7.ch047

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Abstract

Authorship Analysis is the process of examining documents to determine the stylistic details underlying the document and hence inferring about the characteristics of the author of document in order to attribute the authorship to a particular author or to confirm the authenticity of a claimed authorship. The popularity of online communications has paved way to the promotion of numerous fraudulent acts. These illegal activities can be curbed to an extent by identifying the source of the postings, which is made possible by finding the real authors of online documents. Applicability of authorship analysis in the field of forensic linguistics also gathers great importance today. The automation of, process aimed at analyzing the authorship of forensic documents, eases the linguists of the high manual effort spent in analyzing documents and is also advantageous in terms of its accuracy. Here we discuss about the existing methods that have been used so far to deal with automation of authorship analysis and the challenges faced by them.

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