Bayesian Spam Filter (spam, html to pdf, html pdf, PDF to HTML)

Name:	Bayesian Spam Filter Support forum
Base name:	`bayesianspamfilter`
Description:	Detect spam in text using Bayesian techniques
Related top rated classes:	spam, html to pdf, html pdf, PDF to HTML
Version:	`1.1`
Required PHP version:	`4.0`
License:	BSD License
All time users:	2050 users
All time rank:	1301
Week users:	12 users
Week rank:	601

	Author		Groups		Detailed description		Freshmeat project

	User ratings		Trackback		Applications		Related links		Files

Author

Name:	Cesar D. Rodas is available for providing paid consulting. Contact Cesar D. Rodas .
Published packages:	34 Browse this author's classes
Country:	Paraguay - PHP jobs in Paraguay
Home page:	`http://cesarodas.com/`
Age:	22
All time rank:	12
Week rank:	9

Innovation Award

December 2007
Number 3

Determining whether a message is spam or not, is a subjective task.

Using Bayesian techniques it is possible to make a computer program learn what can be spam and what may not be spam.

A program may be trained using sample messages and telling it which are spam. Once the program is well trained, it may start guessing what is spam all by itself.

This package implements solution written completely in PHP that uses Bayesian techniques to detect spam text messages.

Manuel Lemos

Groups

	Text processing	Manipulating and validating text data	View top rated classes
	Artificial intelligence	Automation of tasks using human-like intelligence	View top rated classes

Detailed description

This class can be used to detect spam in text messages using Bayesian techniques.

It analyzes the text words in terms of n-grams in a way that is idiom independent.

It can be trained to progressively distinguish what is spam and what is not spam by detecting patterns in training samples. Training data is stored in a MySQL database.

Freshmeat project

Project record:	`phpspam`
Popularity score:	13.11
Vitality score:	1.0

User ratings

Ratings	Utility	Consistency	Documentation	Examples	Tests	Videos	Overall	Rank
All time:	`Good (80.0%)`	`Sufficient (65.0%)`	`Sufficient (60.0%)`	`Sufficient (70.0%)`	`Sufficient (68.8%)`	`-`	`Sufficient (66.4%)`	316
Month:	Not yet rated by the users

Trackback links

Link	Description
Filtro Bayesiano in PHP	Segnalo una interessante implementazione dei filtri bayesiani in php + mysql...
GSoC - WP - Category Suggester - [Proposal]	This project is an idea that I got while I was reading the N-gram text Categorization...
PHP Spam detection project	While I was googling-up for know how the LibTextCat works internally, I found the paper that had changed my life, N-Gram-Based Text Categorization...

Latest blog trackback links

Applications that use this class

No application links were specified for this class.

If you know an application of this package, send a message to the author to add a link here.

Files

File	Role	Description
`example`
`test.php`	Test	Testing script
`base.sql`	Data	Example of Spams and mysql table to save the knowledge
`config.php`	Conf.	Example
`example.php`	Example	Classification example
`example_trainer.php`	Example	Example of how to traine the spam database
`ngram.php`	Class	N-gram class
`spam.php`	Class	Spam detection class
`spamdetection.html`	Doc.	General information about this class
`trainer.php`	Class	Spam trainer class

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Class: Bayesian Spam Filter

Innovation Award