Stylometric analysis of characters in Shakespeare's plays.
Playwrights and screenwriters compose dialogues with characters from both genders. Assuming that men and women speak or write differently, can a great author take account of this difference? Previous studies have ascertained some stylistic markers that can discriminate between men and women either i...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 3; pp. 1238 - 1247 |
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| Formato: | Artículo |
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Oxford University Press / USA
Sep2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=171389409&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 171389409 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2023 vid: 38 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 171389409 10.1093/llc/fqac092 ppf: 1238 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P size: 326KB tig: atl: Stylometric analysis of characters in Shakespeare's plays. aug: au: Savoy, Jacques affil: Computer Science Department, University of Neuchatel, rue Emile Argand 11 , Neuchatel , 2000, Switzerland su: Shakespeare, William, 1564-1616 Random forest algorithms Logistic regression analysis Women's writings Screenwriters Gender sug: subj: Shakespeare, William, 1564-1616 Random forest algorithms Logistic regression analysis Women's writings Screenwriters Gender ab: Playwrights and screenwriters compose dialogues with characters from both genders. Assuming that men and women speak or write differently, can a great author take account of this difference? Previous studies have ascertained some stylistic markers that can discriminate between men and women either in writing or oral productions. The main aim of this study is to verify whether in Shakespeare's plays female figures are talking in a distinct way compared with male ones. First, this study confirms the effectiveness of a set of predefined stylistic features using a tweet dataset extracted from CLEF-PAN corpora. Second, we demonstrate that the two genders present distinct styles when analyzing twenty-nine of Shakespeare's plays, demonstrating that the author adopts a distinct style for each gender. Our experiments are grounded on two efficient classifiers (logistic regression and random forest) able to automatically identify short passages (500 or 1,000 word-tokens) corresponding to either a male or a female utterance with an accuracy of around 80%. 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: 2023 holdings: @attributes: islocal: N |
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