Elementry Sentiment Analysis using nodejs

tweet.js

var rating=0;
var count=0;
var
  twit= require('twit'),
  sentiment = require('sentiment')
  fs=require('fs');
  ;
var wstream=fs.createWriteStream('tweetdata_pune.csv');
var T = new twit({
    consumer_key:'pleasegetyours'
  , consumer_secret:'pleasegetyours'
  , access_token: 'pleasegetyours'
  , access_token_secret:'pleasegetyours'
});

var pune = [ '73.7199','18.3931','73.972','18.6389']

var stream = T.stream('statuses/filter', { locations: pune })

stream.on('tweet', function (tweet) {
  console.log(tweet.user.screen_name)
  console.log(tweet.text)
  count=count+1;
  var r=sentiment(tweet.text);
  console.log(r)	
  rating=rating+r.score;
  console.log(count)
  var average= rating/count;
  console.log(average)
  var writestring=count+','+r.score+','+average+'\n';


})