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Welcome to the JGAAP wiki.
This will be your source on all things you need to know about JGAAP.
Including up to date information on what is under development, what is being testing and what features are yet to come.
JGAAP is a Java-based,modular, program for textual analysis, text categorization, and authorship attribution. Funding for this project has been provided by the National Science Foundation award #OCI-0721667. Details.
You can see the underlying theory in Dr. Juola's monograph (2008) on authorship attribution (E-print). (A printed and bound version of this article is available at a 50% discount from NOW Publishers. This can be obtained by entering the promotional code INR001003 on the order form at NOW Publishers. Thanks, NOW, for making this offer.)
You can download the latest demo release at JGAAP 4.1 Prior Releases
Project Development
Project Team
- Patrick Juola
- John Noecker
- Mike Ryan
- Chuck Liddell
- Sandy Speer
- Peter Rutenbar
- Sara Ali
- Darren Vescovi
- Josh Booth
- Nicole Pernischova
- John Bauer
- Jeff Baker
Project References
- Patrick Juola, John Sofko, and Patrick Brennan. (2006). "A Prototype for Authorship Attribution Studies" Literary and Linguistic Computing 21:169-178
- Patrick Juola and Harald Baayen. (2005). "A Controlled-Corpus Experiment in Authorship Identification by Cross-Entropy." Literary and Linguistic Computing , 20(Suppl 1) 59-67.
- Ad-hoc Authorship Attribution Competition Main Page
- Patrick Juola and John Sofko. (2004). "Proving and Improving Authorship Attribution." Proceedings of CaSTA-04 "The Face of Text."
