Search Results for "statistical"

In this research we propose a model for automatic domain-relevant term extraction from Arabic text corpus. The proposed model uses a hybrid approach composed of linguistic and statistical methods to extract terms relevant to specific domains depending on prevalence and tendency term ranking mechanism. This increases precision and recall as a measures of relevancy of extracted terms to a specific domain.

Spam Filtering algorithm support for email, blogs, or any other public documents using statistical bayesian techniques.

Neo-Mail Manager is a tool written in PHP and MySQL. The purpose of this tool is to create an open source mailing list manager capable of sending multiple e-mails, grouping subscribers, keeping statistical data and much more.

Parses log information for the courier mail systems and presents statistical summary information in a variety of formats.

WinDSPAM is a statistical spam filter for Windows servers and clients based on Jonathan Zdziarski's DSPAM. Features (will) include intergration with Microsoft Exchange Server 2000/2003 and support for a variety of back-end databases.

A small Newsletter-suite which allows registered users to edit new newsletters or browse old ones. It also contains some very simple statistical functions.

SPAM-Buster is a Java application for filtering SPAM based on statistical algorithms (currently Bayesian). The platform independant application can be used as graphical end-user client and additional service for mail server.

Java based mailing list software with features for both statistical and rule based filtering of messages. The purpose is to create an easily extendable system that can be modified to suit the specific needs of the list provider.

A multiuser spam filter for IMAP servers using a simple statistical method. Training is done within any imap mail client. You simply move the mails into the right folders to train the tool. Can be installed server or client side. Using PHP(imap) + Mysql.

SpamGAME is a statistical spam filter based on the GA.M.E. (GAussian Mono-dimensional Environment) algorithm for Text Categorization. It is written in Python and it should run on all platform having a Python interpreter.

You can filter your email using a bayesian like statistical method. Written in 100% Python, easily extensible, and is used as a pop3 proxy to reduce the intrusion on your system.