Principal component analysis for authorship attribution

Principal component analysis for authorship attribution

Background: To recognize the authors of the texts by the use of statistical tools, one first needs to decide about the features to be used as author characteristics, and then extract these features from texts. The features extracted from texts are mostly the counts of so called function words. Objec...

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Bibliographic Details
Main Authors: Amir Jamak, Alen Savatic, Mehmet Can
Format: Article
Language:English
Published: Sciendo 2012-01-01
Series:Business Systems Research
Subjects:
principal components
authorship attribution
stylometry
text categorization
function words
classification task
stylistic features
syntactic characteristics
Online Access:http://www.degruyter.com/view/j/bsrj.2012.3.issue-2/v10305-012-0012-2/v10305-012-0012-2.xml?format=INT

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