The writing style of a number of authors writing in English was empirically investigated to detect stylistic patterns in relation to advancing age. The aim was to identify the type of stylistic markers among lexical, syntactical, phonemic, entropic, character-based, and content ones most able to discriminate between early, middle, and late works of the selected authors, and the best classification or prediction algorithm most suited for this task. A pilot examination of personal letters and poetry by Christina Georgina Rossetti and Edgar Allan Poe suggested that authors and genres vary inconsistently. Examination of selected variables on Shakespeare?s plays which emphasised their predictive power, led to four experiments on personal correspondence and poetry from Edna St Vincent Millay and William Butler Yeats. The methods used were stepwise multiple linear regression, regression trees, ordinal logistic regression and artificial neural networks. Prediction was found influenced by method, authorship, and genre whereas classification was found sensitive to all factors. Given the current experiments, generalizable conclusions for the wider author population have been avoided.
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The writing style of a number of authors writing in English was empirically investigated to detect stylistic patterns in relation to advancing age. The aim was to identify the type of stylistic markers among lexical, syntactical, phonemic, entropic, character-based, and content ones most able to discriminate between early, middle, and late works of the selected authors, and the best classification or prediction algorithm most suited for this task. A pilot examination of personal letters and poetry by Christina Georgina Rossetti and Edgar Allan Poe suggested that authors and genres vary inconsistently. Examination of selected variables on Shakespeare?s plays which emphasised their predictive power, led to four experiments on personal correspondence and poetry from Edna St Vincent Millay and William Butler Yeats. The methods used were stepwise multiple linear regression, regression trees, ordinal logistic regression and artificial neural networks. Prediction was found influenced by method, authorship, and genre whereas classification was found sensitive to all factors. Given the current experiments, generalizable conclusions for the wider author population have been avoided.
Dr Constantina Stamou is a postgraduate of University of Bedford, UK, where she successfully completed her research degree in Stylochronometric Studies under the supervision of Dr Richard Forsyth. Her interests lie in the fields of authorship attribution and stylochronometry, stylistics, psychology and statistics for language use.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Stamou ConstantinaDr Constantina Stamou is a postgraduate of University of Bedford,nUK, where she successfully completed her research degree innStylochronometric Studies under the supervision of Dr RichardnForsyth. Her interests lie . N° de réf. du vendeur 4962208
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Taschenbuch. Etat : Neu. Dating Victorians | An Experimental Approach to Stylochronometry | Constantina Stamou | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639153149 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 101563399
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The writing style of a number of authors writing inEnglish was empirically investigated to detectstylistic patterns in relation to advancing age. Theaim was toidentify the type of stylistic markers among lexical,syntactical, phonemic, entropic,character-based, and content ones most able todiscriminate between early,middle, and late works of the selected authors, andthe best classification or predictionalgorithm most suited for this task. A pilotexamination of personal letters and poetry byChristina Georgina Rossetti and Edgar Allan Poesuggested that authors and genres varyinconsistently. Examination of selected variables onShakespeare s plays which emphasised their predictivepower, led to four experiments on personalcorrespondence and poetry from Edna St Vincent Millay andWilliam Butler Yeats. The methods used were stepwisemultiple linear regression, regression trees, ordinallogistic regression and artificialneural networks. Prediction was found influenced bymethod, authorship, and genre whereas classification was found sensitive to all factors. Given the currentexperiments, generalizable conclusions for the widerauthor population have been avoided. N° de réf. du vendeur 9783639153149
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