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Viewing file:     ar_sentiment.js (26.59 KB)      -rw-rw-rw-

/**
 * Arabic Sentiment Analysis
 *
 * Performing Arabic sentiment analysis using a statistical algorithm based on the log-odds model of the bi-radical roots.
 *
 * @author    Khaled Al-Sham'aa <khaled.alshamaa@gmail.com>
 * @copyright 2022, Khaled Al-Sham'aa
 * @license   LGPLv3
 * @version   2.0
 * @link      https://github.com/khaled-alshamaa/ar-php/blob/master/examples/ar_sentiment.js
 * @see       https://ar-php.org/github/examples/ar_sentiment.html
 */
 
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function arSentiment(str, debug = false) {
    // set initial scores
    var score = 0;
    var isPositive;
    var probability;

    // remove mentions
    str = str.replace(/@\\S+/gu, '');
    
    // remove hashtags
    str = str.replace(/#\\S+/gu, '');
    
    // normalise Alef
    str = str.replace(/[أإآى]/gu, 'ا');
    
    // normalise Hamza
    str = str.replace(/[ؤئء]/gu, 'ء');
    
    // normalise Taa
    str = str.replace(/ة/gu, 'ه');
    
    // filter only Arabic text (white list)
    str = str.replace(/[^ ءابتثجحخدذرزسشصضطظعغفقكلمنهوي]+/gu, ' ');
    
    // exclude one letter words
    str = str.replace(/\\b\\S{1}\\b/gu, ' ');
    
    // remove extra spaces
    str = str.replace(/\\s{2,}/gu, ' ');
    str = str.replace(/^\\s+/gu, '');
    str = str.replace(/\\s+$/gu, '');
    
    // split string to words
    var words = str.split(/\s+/u);

    var negationWords = ['لا', 'ليس', 'غير', 'ما', 'لم', 'لن',
                        'لست', 'ليست', 'ليسا', 'ليستا', 'لستما',
                        'لسنا', 'لستم', 'ليسوا', 'لسن', 'لستن'];
    var negationFlag  = false;
  
    // for each word
    words.forEach(function(word) {
        if (word != '') {
            // split word to letters
            var letters = word.split('');
            var stems   = [];
            var logOdds = [];

            // get all possible 2 letters stems of current word
            for (var i = 0; i < letters.length - 1; i++) {
                for (var j = i + 1; j < letters.length; j++) {
                    // get stem key
                    stems.push(allStems.indexOf(letters[i] + letters[j]));
                }
            }

            // get log odd for all word stems
            stems.forEach(function(key) {
                logOdds.push(logOddStem[key]);
            });
            
            // select the most probable stem for current word
            var selStemKey = 0;
            
            for (var k = 1; k < logOdds.length; k++) {
                if (logOdds[k] < logOdds[selStemKey]) selStemKey = k;
            }
            
            var selStem = stems[selStemKey];

            if (negationFlag) {
                // switch positive/negative sentiment because of negation word effect
                score += -1 * logOdd[selStem];

                if (debug) console.log(word + ' score ' + (Math.round(logOdd[selStem]*-1000)/1000).toFixed(3));
                
                negationFlag = false;
            } else {
                // retrive the positive and negative log odd scores and accumulate them
                score += logOdd[selStem];
                
                if (debug) console.log(word + ' score ' + (Math.round(logOdd[selStem]*1000)/1000).toFixed(3));
            }    

            if (negationWords.includes(word)) negationFlag = true;
        }
    });

    if (score > 0) {
        isPositive  = true;
    } else {
        isPositive = false;
    }

    probability = Math.exp(Math.abs(score)) / (1 + Math.exp(Math.abs(score)));
    
    return [isPositive, probability];
}