Software Details
| Title: | Free software for authorship attribution |
|---|---|
| Submitter: | Patrick Juola |
| 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. Thank you, Patrick Juola and the JGAAP development team (John Noecker, Mike Ryan, Chuck Liddell, Sandy Speer, and Ashley Bernola) http://www.jgaap.com |
| Linguistic Field(s): |
Computational Linguistics Text/Corpus Linguistics |
| LL Issue: | 19.2840 |
| Date Posted: | 18-Sep-2008 |
