Title

Writeprint Mining For Authorship Attribution

Author First name, Last name, Institution

Farkhund Iqbal
Mourad Debbabi
Benjamin C. M. Fung

Document Type

Book Chapter

Source of Publication

Machine Learning for Authorship Attribution and Cyber Forensics

Publication Date

12-5-2020

Abstract

This chapter presents a novel approach to frequent-pattern based Writeprint creation, and addresses two authorship problems: authorship attribution in the usual way (disregarding stylistic variation), and authorship attribution by focusing on stylistic variations. Stylistic variation is the occasional change in the writing features of an individual, with respect to the type of recipient and the topic of a message. The authorship methods proposed in this chapter and in the following chapters are applicable to different types of online messages; however, for the purposes of experimentation, an e-mail corpus has been used in this chapter, to demonstrate the efficacy of said methods.

ISSN

2364-9488

Publisher

Springer International Publishing

First Page

57

Last Page

74

Disciplines

Computer Sciences

Indexed in Scopus

no

Open Access

no

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