JGAAP 6.0

A reliable and powerful application that allows users to better understand the concepts behind text authoring and categorization

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 uses a set of five tabs to do authorship analysis: 
 · Construct a data set including training and testing documents 
 · "Canonicize" the documents to eliminate extraneous variation 
 · Convert the documents into "event sets" such as words, characters, parts of speech, or whatever 
 · Apply an appropriate statistical analysis method 
 · Read the results from the final screen