Authorship Attribution in Persian Scripts Using Neural Networks

Authorship Attribution is an interesting problem with many applications like Fraud detection, email classification , deciding the authorship of famous documents like the bible, attributing authors to pieces of texts in collaborative writing, and software forensics. Authorship attribution attempts to recognize authors of different scripts based on their writing style. In this paper, four parsian bloggers have been selected and then using their writing style and features, we have tried to apply a neural network based solution for authorship attribution problem among them. A couple of experiments have been designed for evaluating performance of this neural network and results are reported.

کلیدواژه ها:

authorship Attribution ، Stylometery ، Neural Network ، Persian Scripts