SciELO - Scientific Electronic Library Online

 
vol.22 número1Analyzing Polemics Evolution from Twitter Streams Using Author-Based Social NetworksExtraction of Code-mixed Aspect Topics in Semantic Representation índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


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.

        · texto en Inglés     · Inglés ( pdf )