JGAAP (Java Graphical Authorship Attribution Program)

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JGAAP (Java Graphical Authorship Attribution Program) is a Java-based, modular, program for textual analysis, text categorization, and authorship attribution i.e. stylometry / textometry. JGAAP is intended to tackle two different problems, firstly to allow people unfamiliar with machine learning and quantitative analysis the ability to use cutting edge techniques on their text based stylometry / textometry problems, and secondly to act as a framework for testing and comparing the effectiveness of different analytic techniques’ performance on text analysis quickly and easily.

JGAAP is developed by the Evaluating Variation in Language Laboratory (EVL Lab) and released under the AGPLv3. We strive to keep this wiki and our website, evllabs.com, up-to-date with the most recent developments of the project and our research, if you have any trouble using JGAAP, would like to make a feature request, or want to contribute please contact JGAAP Support.

News

May 23, 2013 – We had an issue when updating a server and have lost a large portion of the wiki. We will be working on rebuilding its content over the next few weeks. Thank you for your patience.

Downloads

Documentation

Repository Links

Team

Staff

Graduate Students

Undergraduate Students

Funding

Funding for this project has been provided by the National Science Foundation, originally through award #OCI-0721667, and recently renewed via award #OCI-1032683.
(As always, the errors ours, the credit theirs.)

Commercial Applications

References

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