Word cloud visualization of the most common positive words in tweets

In this example, we will develop a simple application that counts the number of occurrences of each word in the positive tweets. First, we will split each tweet into words. Then, we remove all the URLs (http://...) and twitter users (@...). Next, we will remove all the words with three or less characters (such as the, why, she, him, and so on). Finally, the counted word frequencies will be visualized into a word cloud. In the code listed as follows, we implement the JavaScript map function to split words from tweets:

function(){
  this.text.split(' ').forEach(
      function(word){
        var txt = word.toLowerCase();
          if(!(/^@/).test(txt) &&
            txt.length >= 3 &&
          !(/^http/).test(txt)){
       emit(txt,1)
      }
    }
}

The input will look similar to the following code snippet:

'text': '@SomeUsr After using LaTeX a lot any other typeset mathematics just looks greate. http:...