# Text Mining nodejs Library

## Simple
~~~javascript
var tm = require("tm-corpus");
console.log(tm("silahkan hina aku sepuasnya kamu suci aku penuh dosa"));

~~~
output :
~~~javascript
[ { word: 'aku', count: 2 },
  { word: 'silahkan', count: 1 },
  { word: 'hina', count: 1 },
  { word: 'sepuasnya', count: 1 },
  { word: 'kamu', count: 1 },
  { word: 'suci', count: 1 },
  { word: 'penuh', count: 1 },
  { word: 'dosa', count: 1 } ]
~~~

## StopWords

### Array

~~~javascript
var tm = require("tm-corpus");
var opts = {
  text: "silahkan hina aku sepuasnya kamu suci aku penuh dosa",
  sw: ["aku","kamu"]
}
console.log(tm(opts));
~~~
output :
~~~javascript
[ { word: 'silahkan', count: 1 },
  { word: 'hina', count: 1 },
  { word: 'sepuasnya', count: 1 },
  { word: 'suci', count: 1 },
  { word: 'penuh', count: 1 },
  { word: 'dosa', count: 1 } ]
~~~

### String

~~~javascript
var tm = require("tm-corpus");
var opts = {
  text: "silahkan hina aku sepuasnya kamu suci aku penuh dosa",
  sw: "aku kamu"
}
console.log(tm(opts));
~~~
output :
~~~javascript
[ { word: 'silahkan', count: 1 },
  { word: 'hina', count: 1 },
  { word: 'sepuasnya', count: 1 },
  { word: 'suci', count: 1 },
  { word: 'penuh', count: 1 },
  { word: 'dosa', count: 1 } ]
~~~

### Text mining from twitter
~~~javascript
var Twitter = require('twitter');
var tm = require('tm-corpus');

var client = new Twitter({
  consumer_key: '',
  consumer_secret: '',
  access_token_key: '',
  access_token_secret: ''
});

var text = [];

var opt = {count:100,q:"ahok"}
client.get('search/tweets',opt , function(error, tweets, response) {
   tweets.statuses.forEach(function(data){
     text.push(data.text);
   });
   console.log(tm(text.join(" ")))
});
~~~

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