Inventitech/AbstractFormatter

/*  Copyright (C) 2016  Moritz Beller

    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License 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 General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with this program.  If not, see <http://www.gnu.org/licenses/>. */

// This file performs a basic sentiment analysis using the AFINN-111 list

var sentimentDescription = 'Your abstract\'s <abbr title="Sentiment analysis refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials (Wikipedia). Here, we report a normalized score that is 0 for neutral abstracts, and more extreme positive or negative depending on the detected sentiment.">sentiment score</abbr> is <strong>';

var negativeWords = [];
var positiveWors = [];

var displayAndCalculateAffin = function(text, html) {
    divId = "sentiment";
    score = computeAfinnScore(text);
    html = colorize(html);
    
    removeInfoMessage(divId);
    if(score < 0) {
    addInfoMessage(divId, 'alert alert-danger', sentimentDescription + score + '</strong>. It might convey a negative feeling.');
    }
    else if(score >= 0) { // NaN case is excluded, not identical with else
    addInfoMessage(divId, 'alert alert-success', sentimentDescription + score + '</strong>. Well done!');
    }

    return html;
}

var computeAfinnScore = function(text) {
    negativeWords = [];
    positiveWords = [];
    var words = text.split(/\W/).filter(function(w) { return !(w.length === 0 || !w.trim()); });
    var score = 0;
    for(var i=0; i < words.length; i++) {
    word = words[i].toLowerCase();
    if(afinn.hasOwnProperty(word)) {
        afinnScore= afinn[word]
        score += afinnScore;
        if(afinnScore < 0) {
        negativeWords.push(words[i]);
        }
        else if(afinnScore > 0) {
        positiveWords.push(words[i]);
        }
    }
    }
    
    return Math.round(score/words.length*1000)/1000;
}

var colorize = function(text) {
    text = makeReplacement(text, positiveWords, "#3c763d");
    text = makeReplacement(text, negativeWords, "#a94442");

    return text;
}

var makeReplacement = function(text, words, color) {
    for(var i=0; i < words.length; i++) {
    var re = new RegExp('(^|\\W)('+words[i]+')(\\W|$)', 'g');
    text = text.replace(re, '$1<abbr title="Sentiment effect: ' +
             afinn[words[i].toLowerCase()] + '" style="color:' + color + '; border-color:' + color + '">' + words[i] + '</abbr>$3');
    }
    return text;
}