The word cloud generated here is based on the /r/programming subreddit for reddit.com

The reason this post is made; is so that it would easier to see the word that appeared the most for the day.

Even though the use of a word cloud is not exactly a good representation of occurrence, it still looks nice.

Please note that the posts here are generated based on the Reddit website by doing GET requests. So, it is based on their current entries. So, it will be refreshed when the page is reloaded.

The codes to complete the cloud are as follows

// Based on http://bl.ocks.org/joews/9697914 with modifications.
let words = "";
let freq = "";
let arr = "";

var stopWords = [
  'about', 'after', 'all', 'also', 'am', 'an', 'and', 'another', 'any', 'are', 'as', 'at', 'be',
  'because', 'been', 'before', 'being', 'between', 'both', 'but', 'by', 'came', 'can',
  'come', 'could', 'did', 'do', 'each', 'for', 'from', 'get', 'got', 'has', 'had',
  'he', 'have', 'her', 'here', 'him', 'himself', 'his', 'how', 'if', 'in', 'into',
  'is', 'it', 'like', 'make', 'many', 'me', 'might', 'more', 'most', 'much', 'must',
  'my', 'never', 'now', 'of', 'on', 'only', 'or', 'other', 'our', 'out', 'over',
  'said', 'same', 'see', 'should', 'since', 'some', 'still', 'such', 'take', 'than',
  'that', 'the', 'their', 'them', 'then', 'there', 'these', 'they', 'this', 'those',
  'through', 'to', 'too', 'under', 'up', 'very', 'was', 'way', 'we', 'well', 'were',
  'what', 'where', 'which', 'while', 'who', 'with', 'would', 'you', 'your', 'a', 'i', 'its', 'why'
];

// https://stackoverflow.com/questions/5631422/stop-word-removal-in-javascript

function remove_stopwords(str) {
    res = []
    words = str.split(' ')
    for(i=0;i<words.length;i++) {
        if(!stopWords.includes(words[i])) {
            res.push(words[i])
        }
    }
    return(res.join(' '))
  }

//Simple animated example of d3-cloud - https://github.com/jasondavies/d3-cloud
//Based on https://github.com/jasondavies/d3-cloud/blob/master/examples/simple.html

// Encapsulate the word cloud functionality
function wordCloud(selector) {

    var fill = d3.scale.category20();

    //Construct the word cloud's SVG element
    var svg = d3.select(selector).append("svg")
        
        .attr("viewBox", `0 0 800 800`)
        .append("g")
        .attr("transform", "translate(400,400)");


    //Draw the word cloud
    function draw(words) {
        var cloud = svg.selectAll("g text")
                        .data(words, function(d) { return d.text; })

        //Entering words
        cloud.enter()
            .append("text")
            .style("font-family", "Impact")
            .style("fill", function(d, i) { return fill(i); })
            .attr("text-anchor", "middle")
            .attr('font-size', 1)
            .text(function(d) { return d.text; });

        //Entering and existing words
        cloud
            .transition()
                .duration(600)
                .style("font-size", function(d) { return d.size + "px"; })
                .attr("transform", function(d) {
                    return "translate(" + [d.x, d.y] + ")rotate(" + d.rotate + ")";
                })
                .style("fill-opacity", 1);

        //Exiting words
        cloud.exit()
            .transition()
                .duration(200)
                .style('fill-opacity', 1e-6)
                .attr('font-size', 1)
                .remove();
    }


    //Use the module pattern to encapsulate the visualisation code. We'll
    // expose only the parts that need to be public.
    return {

        //Recompute the word cloud for a new set of words. This method will
        // asycnhronously call draw when the layout has been computed.
        //The outside world will need to call this function, so make it part
        // of the wordCloud return value.

        update: function(words) {

            d3.layout.cloud().size([800, 800])
                .words(words)
                .padding(5)
                .rotate(function() { return ~~(Math.random() * 2) * 90; })
                .font("Impact")
                .fontSize(function(d) { return d.size; })
                .on("end", draw)
                .start();
        }
    }

}


//Prepare one of the sample sentences by removing punctuation,
// creating an array of words and computing a random size attribute.
function getWords(i) {
    arr = words.split(" ");
    let freq = calculateFrequency(arr);
        
    return buildResult(arr);

}

//This method tells the word cloud to redraw with a new set of words.
//In reality the new words would probably come from a server request,
// user input or some other source.
function showNewWords(vis, i) {
    i = i || 0;

    vis.update(getWords(i ++ % words.length))    
}

//Create a new instance of the word cloud visualisation.
var myWordCloud = wordCloud('#cloud');

function calculateFrequency(arr) {
    var a = [], b = [], prev;
    arr.sort();
    for ( var i = 0; i < arr.length; i++ ) {
        if ( arr[i] !== prev ) {
            a.push(arr[i]);
            b.push(1);
        } else {
            b[b.length-1]++;
        }
        prev = arr[i];
    }
    return [a,b];
}

function buildResult(arr){
    let resultArr = [];
    let sum = 0;    
    let total = freq[0].length;

    for(let i = 0; i < total; i++)
        resultArr.push({
            text: freq[0][i],
            size: freq[1][i] 
        });

    let sorted = resultArr.sort( (a,b) => b.size - a.size);
    sorted = sorted.slice(0, 50);
    for(let i = 0; i < sorted.length; i++)
        sum += sorted[i].size;

    resultArr = [];
    for(let i = 0; i < sorted.length; i++)
        resultArr.push({
            text: sorted[i]["text"],
            size: (sorted[i]["size"] / sum) * 60 + 50
        });
    return resultArr;
}


let getPost = () => {
    let result = ""; 
    let endPoint = "https://reddit.com/r/programming.json?limit=1000&jsonp=?"

    $.getJSON(endPoint, function(data){
        result = data;
        let entries = result["data"].children;
        for(let i = 0; i < entries.length; i++){
            let link = (entries[i]["data"]["title"]);
            words += " " + (entries[i]["data"]["title"]);   
        }

        words = words.replace(/[^\w\s]/gi, '');
        words = words.replace(/\d/g, '');
        words = remove_stopwords(words.toLowerCase());

        arr = words.split(" ");
        freq = calculateFrequency(arr);
        showNewWords(myWordCloud);
    });
}

getPost();