Discriminators for authorship attribution

dc.contributor.author	Paijmans, H
dc.date.accessioned	2018-06-07T13:20:35Z
dc.date.available	2018-06-07T13:20:35Z
dc.date.issued	1999
dc.identifier.citation	Paijmans H (1999) Discriminators for authorship attribution. South African Computer Journal, Number 23, 1999	en
dc.identifier.issn	2313-7835
dc.identifier.uri	http://hdl.handle.net/10500/24318
dc.description.abstract	This paper describes some experiments with the automated attribution of authorship. Lexical cohesion in combination with machine learning techniques are used as a method to compare texts of different authors. A methodology is described to create "stylistic fingerprints".	en
dc.language.iso	en	en
dc.publisher	South African Computer Society (SAICSIT)	en
dc.subject	Authorship attribution	en
dc.subject	Machine learning	en
dc.subject	Information retrieval	en
dc.title	Discriminators for authorship attribution	en
dc.type	Article	en