kopia lustrzana https://github.com/friendica/friendica
503 wiersze
12 KiB
Plaintext
503 wiersze
12 KiB
Plaintext
<?php
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# Copyright (C) 2006-2010 Tobias Leupold <tobias.leupold@web.de>
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#
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# b8 - A Bayesian spam filter written in PHP 5
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#
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# This program is free software; you can redistribute it and/or modify it
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# under the terms of the GNU Lesser General Public License as published by
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# the Free Software Foundation in version 2.1 of the License.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
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# or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
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# License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public License
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# along with this program; if not, write to the Free Software Foundation,
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# Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
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/**
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* Copyright (C) 2006-2010 Tobias Leupold <tobias.leupold@web.de>
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*
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* @license LGPL
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* @access public
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* @package b8
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* @author Tobias Leupold
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* @author Oliver Lillie (aka buggedcom) (original PHP 5 port)
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*/
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class b8
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{
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public $config = array(
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'min_size' => 3,
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'max_size' => 30,
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'allow_numbers' => FALSE,
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'lexer' => 'default',
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'degenerator' => 'default',
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'storage' => 'dba',
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'use_relevant' => 15,
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'min_dev' => 0.2,
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'rob_s' => 0.3,
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'rob_x' => 0.5
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);
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private $_lexer = NULL;
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private $_database = NULL;
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private $_token_data = NULL;
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const SPAM = 'spam';
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const HAM = 'ham';
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const LEARN = 'learn';
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const UNLEARN = 'unlearn';
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const STARTUP_FAIL_DATABASE = 'STARTUP_FAIL_DATABASE';
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const STARTUP_FAIL_LEXER = 'STARTUP_FAIL_LEXER';
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const TRAINER_CATEGORY_FAIL = 'TRAINER_CATEGORY_FAIL';
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/**
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* Constructs b8
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*
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* @access public
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* @return void
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*/
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function __construct($config = array(), $database_config)
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{
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# Validate config data
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if(count($config) > 0) {
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foreach ($config as $name=>$value) {
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switch($name) {
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case 'min_dev':
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case 'rob_s':
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case 'rob_x':
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$this->config[$name] = (float) $value;
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break;
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case 'min_size':
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case 'max_size':
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case 'use_relevant':
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$this->config[$name] = (int) $value;
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break;
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case 'allow_numbers':
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$this->config[$name] = (bool) $value;
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break;
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case 'lexer':
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$value = (string) strtolower($value);
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$this->config[$name] = is_file(dirname(__FILE__) . DIRECTORY_SEPARATOR . 'lexer' . DIRECTORY_SEPARATOR . "lexer_" . $value . '.php') === TRUE ? $value : 'default';
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break;
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case 'storage':
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$this->config[$name] = (string) $value;
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break;
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}
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}
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}
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# Setup the database backend
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# Get the basic storage class used by all backends
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if($this->load_class('b8_storage_base', dirname(__FILE__) . DIRECTORY_SEPARATOR . 'storage' . DIRECTORY_SEPARATOR . 'storage_base.php') === FALSE)
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return;
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# Get the degenerator we need
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if($this->load_class('b8_degenerator_' . $this->config['degenerator'], dirname(__FILE__) . DIRECTORY_SEPARATOR . 'degenerator' . DIRECTORY_SEPARATOR . 'degenerator_' . $this->config['degenerator'] . '.php') === FALSE)
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return;
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# Get the actual storage backend we need
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if($this->load_class('b8_storage_' . $this->config['storage'], dirname(__FILE__) . DIRECTORY_SEPARATOR . 'storage' . DIRECTORY_SEPARATOR . 'storage_' . $this->config['storage'] . '.php') === FALSE)
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return;
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# Setup the backend
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$class = 'b8_storage_' . $this->config['storage'];
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$this->_database = new $class(
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$database_config,
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$this->config['degenerator'], date('ymd')
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);
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# Setup the lexer class
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if($this->load_class('b8_lexer_' . $this->config['lexer'], dirname(__FILE__) . DIRECTORY_SEPARATOR . 'lexer' . DIRECTORY_SEPARATOR . 'lexer_' . $this->config['lexer'] . '.php') === FALSE)
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return;
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$class = 'b8_lexer_' . $this->config['lexer'];
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$this->_lexer = new $class(
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array(
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'min_size' => $this->config['min_size'],
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'max_size' => $this->config['max_size'],
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'allow_numbers' => $this->config['allow_numbers']
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)
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);
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}
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/**
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* Load a class file if a class has not been defined yet.
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*
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* @access public
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* @return boolean Returns TRUE if everything is okay, otherwise FALSE.
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*/
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public function load_class($class_name, $class_file)
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{
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if(class_exists($class_name, FALSE) === FALSE) {
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$included = require_once $class_file;
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if($included === FALSE or class_exists($class_name, FALSE) === FALSE)
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return FALSE;
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}
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return TRUE;
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}
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/**
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* Validates the class has all it needs to work.
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*
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* @access public
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* @return mixed Returns TRUE if everything is okay, otherwise an error code.
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*/
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public function validate()
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{
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if($this->_database === NULL)
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return self::STARTUP_FAIL_DATABASE;
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# Connect the database backend if we aren't connected yet
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elseif($this->_database->connected === FALSE) {
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$connection = $this->_database->connect();
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if($connection !== TRUE)
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return $connection;
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}
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if($this->_lexer === NULL)
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return self::STARTUP_FAIL_LEXER;
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return TRUE;
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}
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/**
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* Classifies a text
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*
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* @access public
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* @package default
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* @param string $text
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* @return float The rating between 0 (ham) and 1 (spam)
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*/
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public function classify($text)
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{
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# Validate the startup
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$started_up = $this->validate();
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if($started_up !== TRUE)
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return $started_up;
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# Get the internal database variables, containing the number of ham and
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# spam texts so the spam probability can be calculated in relation to them
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$internals = $this->_database->get_internals();
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# Calculate the spamminess of all tokens
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# Get all tokens we want to rate
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$tokens = $this->_lexer->get_tokens($text);
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# Check if the lexer failed
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# (if so, $tokens will be a lexer error code, if not, $tokens will be an array)
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if(!is_array($tokens))
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return $tokens;
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# Fetch all availible data for the token set from the database
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$this->_token_data = $this->_database->get(array_keys($tokens));
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# Calculate the spamminess and importance for each token (or a degenerated form of it)
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$word_count = array();
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$rating = array();
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$importance = array();
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foreach($tokens as $word => $count) {
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$word_count[$word] = $count;
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# Although we only call this function only here ... let's do the
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# calculation stuff in a function to make this a bit less confusing ;-)
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$rating[$word] = $this->_get_probability($word, $internals['texts_ham'], $internals['texts_spam']);
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$importance[$word] = abs(0.5 - $rating[$word]);
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}
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# Order by importance
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arsort($importance);
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reset($importance);
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# Get the most interesting tokens (use all if we have less than the given number)
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$relevant = array();
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for($i = 0; $i < $this->config['use_relevant']; $i++) {
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if($tmp = each($importance)) {
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# Important tokens remain
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# If the token's rating is relevant enough, use it
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if(abs(0.5 - $rating[$tmp['key']]) > $this->config['min_dev']) {
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# Tokens that appear more than once also count more than once
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for($x = 0, $l = $word_count[$tmp['key']]; $x < $l; $x++)
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array_push($relevant, $rating[$tmp['key']]);
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}
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}
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else {
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# We have less than words to use, so we already
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# use what we have and can break here
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break;
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}
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}
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# Calculate the spamminess of the text (thanks to Mr. Robinson ;-)
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# We set both hamminess and Spamminess to 1 for the first multiplying
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$hamminess = 1;
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$spamminess = 1;
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# Consider all relevant ratings
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foreach($relevant as $value) {
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$hamminess *= (1.0 - $value);
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$spamminess *= $value;
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}
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# If no token was good for calculation, we really don't know how
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# to rate this text; so we assume a spam and ham probability of 0.5
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if($hamminess === 1 and $spamminess === 1) {
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$hamminess = 0.5;
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$spamminess = 0.5;
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$n = 1;
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}
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else {
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# Get the number of relevant ratings
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$n = count($relevant);
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}
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# Calculate the combined rating
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# The actual hamminess and spamminess
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$hamminess = 1 - pow($hamminess, (1 / $n));
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$spamminess = 1 - pow($spamminess, (1 / $n));
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# Calculate the combined indicator
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$probability = ($hamminess - $spamminess) / ($hamminess + $spamminess);
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# We want a value between 0 and 1, not between -1 and +1, so ...
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$probability = (1 + $probability) / 2;
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# Alea iacta est
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return $probability;
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}
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/**
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* Calculate the spamminess of a single token also considering "degenerated" versions
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*
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* @access private
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* @param string $word
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* @param string $texts_ham
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* @param string $texts_spam
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* @return void
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*/
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private function _get_probability($word, $texts_ham, $texts_spam)
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{
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# Let's see what we have!
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if(isset($this->_token_data['tokens'][$word]) === TRUE) {
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# The token was in the database, so we can use it's data as-is
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# and calculate the spamminess of this token directly
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return $this->_calc_probability($this->_token_data['tokens'][$word], $texts_ham, $texts_spam);
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}
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# Damn. The token was not found, so do we have at least similar words?
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if(isset($this->_token_data['degenerates'][$word]) === TRUE) {
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# We found similar words, so calculate the spamminess for each one
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# and choose the most important one for the further calculation
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# The default rating is 0.5 simply saying nothing
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$rating = 0.5;
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foreach($this->_token_data['degenerates'][$word] as $degenerate => $count) {
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# Calculate the rating of the current degenerated token
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$rating_tmp = $this->_calc_probability($count, $texts_ham, $texts_spam);
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# Is it more important than the rating of another degenerated version?
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if(abs(0.5 - $rating_tmp) > abs(0.5 - $rating))
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$rating = $rating_tmp;
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}
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return $rating;
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}
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else {
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# The token is really unknown, so choose the default rating
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# for completely unknown tokens. This strips down to the
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# robX parameter so we can cheap out the freaky math ;-)
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return $this->config['rob_x'];
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}
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}
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/**
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* Do the actual spamminess calculation of a single token
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*
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* @access private
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* @param array $data
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* @param string $texts_ham
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* @param string $texts_spam
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* @return void
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*/
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private function _calc_probability($data, $texts_ham, $texts_spam)
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{
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# Calculate the basic probability by Mr. Graham
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# But: consider the number of ham and spam texts saved instead of the
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# number of entries where the token appeared to calculate a relative
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# spamminess because we count tokens appearing multiple times not just
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# once but as often as they appear in the learned texts
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$rel_ham = $data['count_ham'];
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$rel_spam = $data['count_spam'];
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if($texts_ham > 0)
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$rel_ham = $data['count_ham'] / $texts_ham;
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if($texts_spam > 0)
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$rel_spam = $data['count_spam'] / $texts_spam;
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$rating = $rel_spam / ($rel_ham + $rel_spam);
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# Calculate the better probability proposed by Mr. Robinson
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$all = $data['count_ham'] + $data['count_spam'];
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return (($this->config['rob_s'] * $this->config['rob_x']) + ($all * $rating)) / ($this->config['rob_s'] + $all);
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}
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/**
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* Check the validity of the category of a request
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*
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* @access private
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* @param string $category
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* @return void
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*/
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private function _check_category($category)
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{
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return $category === self::HAM or $category === self::SPAM;
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}
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/**
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* Learn a reference text
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*
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* @access public
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* @param string $text
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* @param const $category Either b8::SPAM or b8::HAM
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* @return void
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*/
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public function learn($text, $category)
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{
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return $this->_process_text($text, $category, self::LEARN);
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}
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/**
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* Unlearn a reference text
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*
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* @access public
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* @param string $text
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* @param const $category Either b8::SPAM or b8::HAM
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* @return void
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*/
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public function unlearn($text, $category)
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{
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return $this->_process_text($text, $category, self::UNLEARN);
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}
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/**
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* Does the actual interaction with the storage backend for learning or unlearning texts
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*
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* @access private
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* @param string $text
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* @param const $category Either b8::SPAM or b8::HAM
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* @param const $action Either b8::LEARN or b8::UNLEARN
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* @return void
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*/
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private function _process_text($text, $category, $action)
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{
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# Validate the startup
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$started_up = $this->validate();
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if($started_up !== TRUE)
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return $started_up;
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# Look if the request is okay
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if($this->_check_category($category) === FALSE)
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return self::TRAINER_CATEGORY_FAIL;
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# Get all tokens from $text
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$tokens = $this->_lexer->get_tokens($text);
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# Check if the lexer failed
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# (if so, $tokens will be a lexer error code, if not, $tokens will be an array)
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if(!is_array($tokens))
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return $tokens;
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# Pass the tokens and what to do with it to the storage backend
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return $this->_database->process_text($tokens, $category, $action);
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}
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}
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?> |