Writing style determination using the KNN text model

DOI

https://doi.org/10.1109/ISIC.2015.7307296
Final published version
https://doi.org/10.1109/ISIC.2015.7307296
Other version

The aim of the paper is writing style investigation. The method used is based on re-sampling approach. We present the text as a series of characters generated by distinct probability sources. A re-sampling procedure is applied in order to simulate samples from the texts. To check if samples are generated from the same population we use a KNN-based two-sample test. The proposed method shows high ability to distinguish variety of different texts.

Original language	English
Title of host publication	2015 IEEE International Symposium on Intelligent Control, ISIC 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	900-905
Number of pages	6
ISBN (Electronic)	9781479977888
DOIs	https://doi.org/10.1109/ISIC.2015.7307296 https://doi.org/10.1109/ISIC.2015.7307296
State	Published - 26 Oct 2015
Event	IEEE International Symposium on Intelligent Control, ISIC 2015 - Sydney, Australia Duration: 21 Sep 2015 → 23 Sep 2015

Publication series

Name	IEEE International Symposium on Intelligent Control - Proceedings
Volume	2015-October

Conference

Conference	IEEE International Symposium on Intelligent Control, ISIC 2015
Country/Territory	Australia
City	Sydney
Period	21/09/15 → 23/09/15

Research areas

Authorship attribution, Re-sampling, Twosample test, Writing style

Scopus subject areas

Control and Systems Engineering
Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

ID: 3943514