Stylometry-based Approach for Detecting Writing Style Changes in Literary Texts
Abstract
In this paper, we present an approach to identify changes in the writing style of 7 writers 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 his stylometric-based representation is possible to identify to which stage of writing each novel belongs.
Keywords
Stylometry, writing style, authorship analysis.