Authors: Saman Bashbaghi, Abdol Hamid Pilevar
According to Daily increase of the documents on the internet, automatic language detection is getting more important. In this paper we used language detection system to classify and filtering of the immoral web pages, based on their contents. This system could detect 10 most used languages in the immoral web pages, including FARSI language. As a technique we introduce a new combined method which consists of three parts; URL Processor, page encoding processor, and text processor. In order to generate proper results this system has a voter which combines the results of these three parts. We used the immoral web pages and labeled web pages as an input data set in order to make a linguistic model for each language and system evaluation. Our experiments show 95% success in accuracy of outcome results.
Comments: 11 Pages.
Download: PDF
[v1] 2014-05-07 04:05:13
Unique-IP document downloads: 152 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.