I18N_Arabic

# Source for file AutoSummarize.php Documentation is available at AutoSummarize.php <?php /** * ---------------------------------------------------------------------- * * Copyright (c) 2006-2016 Khaled Al-Sham'aa. * * http://www.ar-php.org * * PHP Version 5 * * ---------------------------------------------------------------------- * * LICENSE * * This program is open source product; you can redistribute it and/or * modify it under the terms of the GNU Lesser General Public License (LGPL) * as published by the Free Software Foundation; either version 3 * of the License, or (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public License * along with this program. If not, see <http://www.gnu.org/licenses/lgpl.txt>. * * ---------------------------------------------------------------------- * * Class Name: Arabic Auto Summarize Class * * Filename: AutoSummarize.php * * Original Author(s): Khaled Al-Sham'aa <khaled@ar-php.org> * * Purpose: Automatic keyphrase extraction to provide a quick mini-summary * for a long Arabic document. * * ---------------------------------------------------------------------- * * Arabic Auto Summarize * * This class identifies the key points in an Arabic document for you to share with * others or quickly scan. The class determines key points by analyzing an Arabic * document and assigning a score to each sentence. Sentences that contain words * used frequently in the document are given a higher score. You can then choose a * percentage of the highest-scoring sentences to display in the summary. * "ArAutoSummarize" class works best on well-structured documents such as reports, * articles, and scientific papers. * * "ArAutoSummarize" class cuts wordy copy to the bone by counting words and ranking * sentences. First, "ArAutoSummarize" class identifies the most common words in the * document and assigns a "score" to each word--the more frequently a word is used, * the higher the score. * * Then, it "averages" each sentence by adding the scores of its words and dividing * the sum by the number of words in the sentence--the higher the average, the * higher the rank of the sentence. "ArAutoSummarize" class can summarize texts to * specific number of sentences or percentage of the original copy. * * We use statistical approach, with some attention apparently paid to: * * - Location: leading sentences of paragraph, title, introduction, and conclusion. * - Fixed phrases: in-text summaries. * - Frequencies of words, phrases, proper names * - Contextual material: query, title, headline, initial paragraph * * The motivation for this class is the range of applications for key phrases: * * - Mini-summary: Automatic key phrase extraction can provide a quick mini-summary * for a long document. For example, it could be a feature in a web sites; just * click the summarize button when browsing a long web page. * * - Highlights: It can highlight key phrases in a long document, to facilitate * skimming the document. * * - Author Assistance: Automatic key phrase extraction can help an author or editor * who wants to supply a list of key phrases for a document. For example, the * administrator of a web site might want to have a key phrase list at the top of * each web page. The automatically extracted phrases can be a starting point for * further manual refinement by the author or editor. * * - Text Compression: On a device with limited display capacity or limited * bandwidth, key phrases can be a substitute for the full text. For example, an * email message could be reduced to a set of key phrases for display on a pager; * a web page could be reduced for display on a portable wireless web browser. * * This list is not intended to be exhaustive, and there may be some overlap in * the items. * * Example: * <code> * include('./I18N/Arabic.php'); * $obj = new I18N_Arabic('AutoSummarize'); * * $file = 'Examples/Articles/Ajax.txt'; * $r = 20; * * // get contents of a file into a string * $fhandle = fopen($file, "r"); * $c = fread($fhandle, filesize($file)); * fclose($fhandle); * * $k = $obj->getMetaKeywords($c, $r); * echo '<b><font color=#FFFF00>'; * echo 'Keywords:</font></b>'; * echo '<p dir="rtl" align="justify">'; * echo $k . '</p>'; * * $s = $obj->doRateSummarize($c, $r); * echo '<b><font color=#FFFF00>'; * echo 'Summary:</font></b>'; * echo '<p dir="rtl" align="justify">'; * echo $s . '</p>'; * * echo '<b><font color=#FFFF00>'; * echo 'Full Text:</font></b>'; * echo '<p><a class=ar_link target=_blank '; * echo 'href='.$file.'>Source File</a></p>'; * </code> * * @category I18N * @package I18N_Arabic * @author Khaled Al-Sham'aa <khaled@ar-php.org> * @copyright 2006-2016 Khaled Al-Sham'aa * * @license LGPL <http://www.gnu.org/licenses/lgpl.txt> * @link http://www.ar-php.org */ /** * This PHP class do automatic keyphrase extraction to provide a quick * mini-summary for a long Arabic document * * @category I18N * @package I18N_Arabic * @author Khaled Al-Sham'aa <khaled@ar-php.org> * @copyright 2006-2016 Khaled Al-Sham'aa * * @license LGPL <http://www.gnu.org/licenses/lgpl.txt> * @link http://www.ar-php.org */ class I18N_Arabic_AutoSummarize { private $_normalizeAlef = array('أ','إ','آ'); private $_normalizeDiacritics = array('َ','ً','ُ','ٌ','ِ','ٍ','ْ','ّ'); private $_commonChars = array('ة','ه','ي','ن','و','ت','ل','ا','س','م', 'e', 't', 'a', 'o', 'i', 'n', 's'); private $_separators = array('.',"\n",'،','؛','(','[','{',')',']','}',',',';'); private $_commonWords = array(); private $_importantWords = array(); /** * Loads initialize values * * @ignore */ public function __construct() { // This common words used in cleanCommon method $words = file(dirname(__FILE__).'/data/ar-stopwords.txt'); $en_words = file(dirname(__FILE__).'/data/en-stopwords.txt'); $words = array_merge($words, $en_words); $words = array_map('trim', $words); $this->_commonWords = $words; // This important words used in rankSentences method $words = file(dirname(__FILE__).'/data/important-words.txt'); $words = array_map('trim', $words); $this->_importantWords = $words; } /** * Load enhanced Arabic stop words list * * @return void */ public function loadExtra() { $extra_words = file(dirname(__FILE__).'/data/ar-extra-stopwords.txt'); $extra_words = array_map('trim', $extra_words); $this->_commonWords = array_merge($this->_commonWords, $extra_words); } /** * Core summarize function that implement required steps in the algorithm * * @param string $str Input Arabic document as a string * @param string $keywords List of keywords higlited by search process * @param integer $int Sentences value (see $mode effect also) * @param string $mode Mode of sentences count [number|rate] * @param string $output Output mode [summary|highlight] * @param string $style Name of the CSS class you would like to apply * * @return string Output summary requested * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ protected function summarize($str, $keywords, $int, $mode, $output, $style=null) { preg_match_all( "/[^\.\n\،\؛\,\;](.+?)[\.\n\،\؛\,\;]/u", $str, $sentences ); $_sentences = $sentences[0]; if ($mode == 'rate') { $str = preg_replace("/\s{2,}/u", ' ', $str); $totalChars = mb_strlen($str); $totalSentences = count($_sentences); $maxChars = round($int * $totalChars / 100); $int = round($int * $totalSentences / 100); } else { $maxChars = 99999; } $summary = ''; $str = strip_tags($str); $normalizedStr = $this->doNormalize($str); $cleanedStr = $this->cleanCommon($normalizedStr); $stemStr = $this->draftStem($cleanedStr); preg_match_all( "/[^\.\n\،\؛\,\;](.+?)[\.\n\،\؛\,\;]/u", $stemStr, $sentences ); $_stemmedSentences = $sentences[0]; $wordRanks = $this->rankWords($stemStr); if ($keywords) { $keywords = $this->doNormalize($keywords); $keywords = $this->draftStem($keywords); $words = explode(' ', $keywords); foreach ($words as $word) { $wordRanks[$word] = 1000; } } $sentencesRanks = $this->rankSentences( $_sentences, $_stemmedSentences, $wordRanks ); list($sentences, $ranks) = $sentencesRanks; $minRank = $this->minAcceptedRank($sentences, $ranks, $int, $maxChars); $totalSentences = count($ranks); for ($i = 0; $i < $totalSentences; $i++) { if ($sentencesRanks[1][$i] >= $minRank) { if ($output == 'summary') { $summary .= ' '.$sentencesRanks[0][$i]; } else { $summary .= '<span class="' . $style .'">' . $sentencesRanks[0][$i] . '</span>'; } } else { if ($output == 'highlight') { $summary .= $sentencesRanks[0][$i]; } } } if ($output == 'highlight') { $summary = str_replace("\n", '<br />', $summary); } return $summary; } /** * Summarize input Arabic string (document content) into specific number of * sentences in the output * * @param string $str Input Arabic document as a string * @param integer $int Number of sentences required in output summary * @param string $keywords List of keywords higlited by search process * * @return string Output summary requested * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ public function doSummarize($str, $int, $keywords) { $summary = $this->summarize( $str, $keywords, $int, 'number', 'summary', $style ); return $summary; } /** * Summarize percentage of the input Arabic string (document content) into output * * @param string $str Input Arabic document as a string * @param integer $rate Rate of output summary sentence number as * percentage of the input Arabic string * (document content) * @param string $keywords List of keywords higlited by search process * * @return string Output summary requested * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ public function doRateSummarize($str, $rate, $keywords) { $summary = $this->summarize( $str, $keywords, $rate, 'rate', 'summary', $style ); return $summary; } /** * Highlight key sentences (summary) of the input string (document content) * using CSS and send the result back as an output * * @param string $str Input Arabic document as a string * @param integer $int Number of key sentences required to be * highlighted in the input string * (document content) * @param string $keywords List of keywords higlited by search process * @param string $style Name of the CSS class you would like to apply * * @return string Output highlighted key sentences summary (using CSS) * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ public function highlightSummary($str, $int, $keywords, $style) { $summary = $this->summarize( $str, $keywords, $int, 'number', 'highlight', $style ); return $summary; } /** * Highlight key sentences (summary) as percentage of the input string * (document content) using CSS and send the result back as an output. * * @param string $str Input Arabic document as a string * @param integer $rate Rate of highlighted key sentences summary * number as percentage of the input Arabic * string (document content) * @param string $keywords List of keywords higlited by search process * @param string $style Name of the CSS class you would like to apply * * @return string Output highlighted key sentences summary (using CSS) * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ public function highlightRateSummary($str, $rate, $keywords, $style) { $summary = $this->summarize( $str, $keywords, $rate, 'rate', 'highlight', $style ); return $summary; } /** * Extract keywords from a given Arabic string (document content) * * @param string $str Input Arabic document as a string * @param integer $int Number of keywords required to be extracting * from input string (document content) * * @return string List of the keywords extracting from input Arabic string * (document content) * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ public function getMetaKeywords($str, $int) { $patterns = array(); $replacements = array(); $metaKeywords = ''; array_push($patterns, '/\.|\n|\،|\؛|\(|\[|\{|\)|\]|\}|\,|\;/u'); array_push($replacements, ' '); $str = preg_replace($patterns, $replacements, $str); $normalizedStr = $this->doNormalize($str); $cleanedStr = $this->cleanCommon($normalizedStr); $str = preg_replace('/(\W)ال(\w{3,})/u', '\\1\\2', $cleanedStr); $str = preg_replace('/(\W)وال(\w{3,})/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})هما(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})كما(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})تين(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})هم(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})هن(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})ها(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})نا(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})ني(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})كم(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})تم(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})كن(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})ات(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})ين(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})تن(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})ون(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})ان(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})تا(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})وا(\W)/u', '\\1\\2', $str); $str = preg_replace('/(\w{3,})ة(\W)/u', '\\1\\2', $str); $stemStr = preg_replace('/(\W)\w{1,3}(\W)/u', '\\2', $str); $wordRanks = $this->rankWords($stemStr); arsort($wordRanks, SORT_NUMERIC); $i = 1; foreach ($wordRanks as $key => $value) { if ($this->acceptedWord($key)) { $metaKeywords .= $key . '، '; $i++; } if ($i > $int) { break; } } $metaKeywords = mb_substr($metaKeywords, 0, -2); return $metaKeywords; } /** * Normalized Arabic document * * @param string $str Input Arabic document as a string * * @return string Normalized Arabic document * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ protected function doNormalize($str) { $str = str_replace($this->_normalizeAlef, 'ا', $str); $str = str_replace($this->_normalizeDiacritics, '', $str); $str = strtr( $str, 'ABCDEFGHIJKLMNOPQRSTUVWXYZ', 'abcdefghijklmnopqrstuvwxyz' ); return $str; } /** * Extracting common Arabic words (roughly) * from input Arabic string (document content) * * @param string $str Input normalized Arabic document as a string * * @return string Arabic document as a string free of common words (roughly) * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ public function cleanCommon($str) { $str = str_replace($this->_commonWords, ' ', $str); return $str; } /** * Remove less significant Arabic letter from given string (document content). * Please note that output will not be human readable. * * @param string $str Input Arabic document as a string * * @return string Output string after removing less significant Arabic letter * (not human readable output) * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ protected function draftStem($str) { $str = str_replace($this->_commonChars, '', $str); return $str; } /** * Ranks words in a given Arabic string (document content). That rank refers * to the frequency of that word appears in that given document. * * @param string $str Input Arabic document as a string * * @return hash Associated array where document words referred by index and * those words ranks referred by values of those array items. * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ protected function rankWords($str) { $wordsRanks = array(); $str = str_replace($this->_separators, ' ', $str); $words = preg_split("/[\s,]+/u", $str); foreach ($words as $word) { if (isset($wordsRanks[$word])) { $wordsRanks[$word]++; } else { $wordsRanks[$word] = 1; } } foreach ($wordsRanks as $wordRank => $total) { if (mb_substr($wordRank, 0, 1) == 'و') { $subWordRank = mb_substr($wordRank, 1, mb_strlen($wordRank) - 1); if (isset($wordsRanks[$subWordRank])) { unset($wordsRanks[$wordRank]); $wordsRanks[$subWordRank] += $total; } } } return $wordsRanks; } /** * Ranks sentences in a given Arabic string (document content). * * @param array $sentences Sentences of the input Arabic document * as an array * @param array $stemmedSentences Stemmed sentences of the input Arabic * document as an array * @param array $arr Words ranks array (word as an index and * value refer to the word frequency) * * @return array Two dimension array, first item is an array of document * sentences, second item is an array of ranks of document * sentences. * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ protected function rankSentences($sentences, $stemmedSentences, $arr) { $sentenceArr = array(); $rankArr = array(); $max = count($sentences); for ($i = 0; $i < $max; $i++) { $sentence = $sentences[$i]; $w = 0; $first = mb_substr($sentence, 0, 1); $last = mb_substr($sentence, -1, 1); if ($first == "\n") { $w += 3; } elseif (in_array($first, $this->_separators)) { $w += 2; } else { $w += 1; } if ($last == "\n") { $w += 3; } elseif (in_array($last, $this->_separators)) { $w += 2; } else { $w += 1; } foreach ($this->_importantWords as $word) { if ($word != '') { $w += mb_substr_count($sentence, $word); } } $sentence = mb_substr(mb_substr($sentence, 0, -1), 1); if (!in_array($first, $this->_separators)) { $sentence = $first . $sentence; } $stemStr = $stemmedSentences[$i]; $stemStr = mb_substr($stemStr, 0, -1); $words = preg_split("/[\s,]+/u", $stemStr); $totalWords = count($words); if ($totalWords > 4) { $totalWordsRank = 0; foreach ($words as $word) { if (isset($arr[$word])) { $totalWordsRank += $arr[$word]; } } $wordsRank = $totalWordsRank / $totalWords; $sentenceRanks = $w * $wordsRank; array_push($sentenceArr, $sentence . $last); array_push($rankArr, $sentenceRanks); } } $sentencesRanks = array($sentenceArr, $rankArr); return $sentencesRanks; } /** * Calculate minimum rank for sentences which will be including in the summary * * @param array $str Document sentences * @param array $arr Sentences ranks * @param integer $int Number of sentences you need to include in your summary * @param integer $max Maximum number of characters accepted in your summary * * @return integer Minimum accepted sentence rank (sentences with rank more * than this will be listed in the document summary) * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ protected function minAcceptedRank($str, $arr, $int, $max) { $len = array(); foreach ($str as $line) { $len[] = mb_strlen($line); } rsort($arr, SORT_NUMERIC); $totalChars = 0; for ($i=0; $i<=$int; $i++) { if (!isset($arr[$i])) { $minRank = 0; break; } $totalChars += $len[$i]; if ($totalChars >= $max) { $minRank = $arr[$i]; break; } $minRank = $arr[$i]; } return $minRank; } /** * Check some conditions to know if a given string is a formal valid word or not * * @param string $word String to be checked if it is a valid word or not * * @return boolean True if passed string is accepted as a valid word else * it will return False * @author Khaled Al-Sham'aa <khaled@ar-php.org> */ protected function acceptedWord($word) { $accept = true; if (mb_strlen($word) < 3) { $accept = false; } return $accept; } } Documentation generated on Fri, 01 Jan 2016 10:25:52 +0200 by phpDocumentor 1.4.0