سال انتشار: ۱۳۸۵

محل انتشار: دوازدهمین کنفرانس سالانه انجمن کامپیوتر ایران

تعداد صفحات: ۴

نویسنده(ها):

Afshin Rahimi – Web Intelligence Laboratory , Department of Computer Engineering , Sharif University of Technology , Tehran, Iran
Hassan Abolhassani – Department of Computer Engineering , Faculty of Computer Engineering Sharif University of Technology, Tehran,Iran
Kyumars Sheykh Esmaili – Web Intelligence Laboratory , Department of Computer Engineering , Sharif University of Technology , Tehran, Iran

چکیده:

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, fourparsian bloggers have been selectedand then using their writing style and features, we have tried to apply a neural network based solution for authorship attribution problem among them. A coupleof experiments have been designed for evaluating performance of this neural network and results are reported.