Who wrote 'The World of Saddam Hussein?' A supervised machine learning approach.
The 2003 novel 'The World of Saddam Hussein' (TWOSH), published under the pseudonym Mahdy Haidar, has long concealed the true identity of its author. This study compiles the works of eight authors previously speculated by literary critics as potential authors. Using a supervised machine learning app...
| Publicado en: | Digital Scholarship in the Humanities Vol. 40; no. 1; pp. 241 - 253 |
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| Formato: | Artículo |
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Oxford University Press / USA
Apr2025
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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=184296827&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 184296827 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2025 vid: 40 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 184296827 10.1093/llc/fqae080 ppf: 241 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.3MB tig: atl: Who wrote 'The World of Saddam Hussein?' A supervised machine learning approach. aug: au: Mohamed, Emad affil: BACE Department, School of Management, University of Bradford, Bradford, United Kingdom su: World of Saddam Hussein, The (Book) Supervised learning Anonyms & pseudonyms Compound words Critics sug: subj: World of Saddam Hussein, The (Book) Supervised learning Anonyms & pseudonyms Compound words Critics ab: The 2003 novel 'The World of Saddam Hussein' (TWOSH), published under the pseudonym Mahdy Haidar, has long concealed the true identity of its author. This study compiles the works of eight authors previously speculated by literary critics as potential authors. Using a supervised machine learning approach with a large set of classification algorithms, I employed two distinct feature sets: (1) top frequent words and (2) top free-occurring function word compounds lacking lexical attachments. My findings suggest that (1) the author of TWOSH can be discovered with high certainty and (2) the innovative method of utilizing top free-standing function word compounds proves nearly as effective as the traditional top N words approach, offering two key advantages: the exclusion of lexical items, providing a more accurate reflection of authorial style, and the elimination of the expensive and inaccurate morphological segmentation requirement. 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: 2025 holdings: @attributes: islocal: N |
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