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...
| Published in: | Digital Scholarship in the Humanities Vol. 31; no. 3; pp. 457 - 470 |
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| Format: | Article |
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Oxford University Press / USA
9/1/2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=117805744&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 117805744 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: 9/1/2016 vid: 31 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 117805744 10.1093/llc/fqv010 ppf: 457 ppct: 13 formats: fmt: @attributes: type: P size: 759KB tig: atl: Rolling stylometry. aug: au: Eder, Maciej affil: Polish Academy of Sciences, Institute of Polish Language, and Pedagogical University of Kraków, Kraków, Poland su: Stylometry Machine learning Sequential analysis Support vector machines Roman de la Rose (Poem) sug: subj: Stylometry Machine learning Sequential analysis Support vector machines Roman de la Rose (Poem) ab: 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, tries to look inside a text represented as a set of linearly sliced chunks, in order to test their stylistic consistency. Three flavors of the method have been introduced: (1) Rolling SVM, relying on the support vector machines (SVM) classifier, (2) Rolling NSC, based on the nearest shrunken centroids method, and (3) Rolling Delta, using the classic Burrowsian measure of similarity. The technique is primarily intended to assess mixed authorship; however, it can be also used as a magnifying glass to inspect works with unclear stylometric signal. To demonstrate its applicability, three different examples of collaborative work have been briefly discussed: (1) the 13th-century French allegorical poem Roman de la Rose, (2) a 15th-century translation of the Bible into Polish known as Queen Sophia's Bible, and (3) The Inheritors, a novel collaboratively written by Joseph Conrad and Ford Madox Ford in 1901. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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