|Title:||Free software for authorship attribution|
|Description:||We are delighted to announce the release of a new version of JGAAP, the
_Java Graphical Authorship Attribution Program_, by Patrick Juola and his
research team at Duquesne University. For more details, please visit our
wiki at http://www.jgaap.com, from which you can also download both the
software and the source code.
JGAAP, now in version 3.1, is a graphical program to perform text-based
authorship attribution among other forms of text categorization using a
variety of different methods. It uses the Java programming language to
create an easily-extensible framework for solving text classification
problems in a write-once, run-anywhere fashion. Currently available
analytic methods include popular classification techniques such as
nearest-neighbor algorithms using a variety of distances, support vector
machines using a variety of kernels, with many others planned for addition
in the near future.
This program is freely available and released under Open Source guidelines;
we hope that other researchers will help us test and extend this software
for widespread use.
Patrick Juola and the JGAAP development team (John Noecker, Mike Ryan,
Chuck Liddell, Sandy Speer, and Ashley Bernola)