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  Classes of Cesar D. Rodas  >  Bayesian Spam Filter  >  example/example.php  
File: example/example.php
Role: Example script
Content type: text/plain
Description: Classification example
Class: Bayesian Spam Filter
Detect spam in text using Bayesian techniques
 

Contents

Class file image Download
<?php
/*
***************************************************************************
*   Copyright (C) 2007 by Cesar D. Rodas                                  *
*   cesar@sixdegrees.com.br                                               *
*                                                                         *
*   Permission is hereby granted, free of charge, to any person obtaining *
*   a copy of this software and associated documentation files (the       *
*   "Software"), to deal in the Software without restriction, including   *
*   without limitation the rights to use, copy, modify, merge, publish,   *
*   distribute, sublicense, and/or sell copies of the Software, and to    *
*   permit persons to whom the Software is furnished to do so, subject to *
*   the following conditions:                                             *
*                                                                         *
*   The above copyright notice and this permission notice shall be        *
*   included in all copies or substantial portions of the Software.       *
*                                                                         *
*   THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,       *
*   EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF    *
*   MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.*
*   IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR     *
*   OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, *
*   ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR *
*   OTHER DEALINGS IN THE SOFTWARE.                                       *
***************************************************************************
*/ 
require("../spam.php");
require(
"config.php");
$db mysql_connect(MYSQL_HOST,MYSQL_USER,MYSQL_PASS);
mysql_select_db(MYSQL_DB,$db);
/**
 *
 *    Because the system do not manage a method where you 
 *    can save the data, you must define a function which recives
 *    the wanted "n-grams" and return and array which is 
 *    "n-grams" and percent of accuracy (what its learn with example_trainer).
 *    In this example those datas are loaded from mysql.
 *
 */
$spam = new spam("handler");
/**/
$texts = array("Phentermine""Buy cheap xxx","Really nice post","Viagra","This a large text, it is not spam, but because the training set are small sentenses, it may be marked as spam. You can solve this problem with a largest sentences on the training set.");
echo 
"<h1>Spam test</h1>";
foreach (
$texts as $text)
    echo 
"<em><strong>$text</strong></em> has an accuraccy of <b>"$spam->isItSpam_v2($text,'spam')."%</b> spam<hr>";
echo 
"<h1>Ham test</h1>";
foreach (
$texts as $text)
    echo 
"<em><strong>$text</strong></em> has an accuraccy of <b>"$spam->isItSpam_v2($text,'1')."%</b> ham<hr>";;
/**
 *  Callback function
 *
 *  This is function is called by the classifier class, and it must 
 *  return all the n-grams.
 *  
 *  @param Array $ngrams N-grams.
 *  @param String $type Type of set to compare
 */
function handler($ngrams,$type) {
    global 
$db;
    
    
$info array_keys($ngrams);
    
    
$sql "select ngram,percent from knowledge_base where belongs = '$type' && ngram in ('".implode("','",$info)."')";
    
$r mysql_query($sql,$db);
    
    while ( 
$row mysql_fetch_array($r) ) {
        
$t$row['ngram'] ]  = $row['percent'];     
    }

    return 
$t;
}
?>

 
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