Authorship attribution in Arabic using a hybrid of evolutionary search and linear discriminant analysis

Kareem Shaker, David Corne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Citations (Scopus)

Abstract

Authorship Attribution is the problem of determining the authorship of one or more texts. Applications include disputed authorship, or deciding which of a collection of pieces of text were by the same author. A popular and successful approach is to characterize a specific author in terms of the usage pattern of function words. These are common words that are unrelated to subject matter, and tend to be used in specific ways by different authors. In English, a well-known collection of 70 function words is often used for this purpose. Previously, using a hybrid of evolutionary search and linear-discriminant analysis (LDA), we have shown excellent performance in authorship attribution in English based on a function word approach. Here, for the first time, we propose and test a set of Arabic function words for use in Arabic authorship attribution. Tests indicate that the chosen collection forms an effective basis for authorship attribution in Arabic.

Original languageEnglish
Title of host publication2010 UK Workshop on Computational Intelligence, UKCI 2010
DOIs
Publication statusPublished - 2010
Event2010 UK Workshop on Computational Intelligence - Colchester, United Kingdom
Duration: 8 Sep 201010 Sep 2010

Conference

Conference2010 UK Workshop on Computational Intelligence
Abbreviated titleUKCI 2010
CountryUnited Kingdom
CityColchester
Period8/09/1010/09/10

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