Rolling stylometry.

This article introduces a new stylometric method that combines supervised machine- learning classification with the idea of sequential analysis. Unlike standard procedures, aimed at assessing style differentiation between discrete text samples, the new method, supported with compact visualization, t...

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Bibliographic Details

Published in:	Digital Scholarship in the Humanities Vol. 31; no. 3; pp. 457 - 470
Main Author:	Eder, Maciej
Format:	Article
Published:	Oxford University Press / USA 9/1/2016
Subjects:	Stylometry Machine learning Sequential analysis Support vector machines Roman de la Rose (Poem)
Online Access:	View this record in EBSCOhost