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Computación y Sistemas
versión On-line ISSN 2007-9737versión impresa ISSN 1405-5546
Resumen
GOMEZ-ADORNO, Helena et al. Stylometry-based Approach for Detecting Writing Style Changes in Literary Texts. Comp. y Sist. [online]. 2018, vol.22, n.1, pp.47-53. ISSN 2007-9737. https://doi.org/10.13053/cys-22-1-2882.
In this paper, we present an approach to identify changes in the writing style of 7 authors of novels written in English. We defined 3 stages of writing for each author, each stage contains 3 novels with a maximum of 3 years between each publication. We propose several stylometric features to represent the novels in a vector space model. We use supervised learning algorithms to determine if by means of this stylometric-based representation is possible to identify to which stage of writing each novel belongs.
Palabras llave : Stylometry; writing style; authorship analysis.