Authorship Attribution

This software performs a statistical analysis of an unattributed text for comparison to the statistics of known authors. Based on this analysis, the most likely author of the unattributed text is determined
A system for inputting works by known authors to train the database is in development.
Method primarily based on techniques described in "Text Classification For Authorship Attribution Analysis" by M. Sudheep Elayidom, Chinchu Jose, Anitta Puthussery, and Neenu K Sasi

Characteristics considered:

Average word length: This is simply the average number of characters per word, calculated after the punctuation has been stripped.
Type-Token Ratio: the number of different words used in a text divided by the total number of words. It's a measure of how repetitive the vocabulary is.
Hapax Legomena Ratio is the ratio of unique words to total words. Unique words appear exactly once in the text.
Average number of words per sentence.