Rinat Valiullov RinatValiullov

## sentiment-output.js
0.42857142857142855 // указывает на относительно отрицательное утверждение

## sentiment-index.js
// index.js

var natural = require('natural');
var Analyzer = natural.SentimentAnalyzer;
var stemmer = natural.PorterStemmer;
var analyzer = new Analyzer("English", stemmer, "afinn");

// getSentiment ожидает массив строк
console.log(analyzer.getSentiment(["I", "don't", "want", "to", "play", "with", "you"]));

## classification-output.js
sell
buy

## classification-index.js
// index.js

var natural = require('natural');

var classifier = new natural.BayesClassifier();
classifier.addDocument('i am long qqqq', 'buy');
classifier.addDocument('buy the q\'s', 'buy');
classifier.addDocument('short gold', 'sell');
classifier.addDocument('sell gold', 'sell');
classifier.train();

## string_distance-output.js
3
3
-1

## string_distance-index.js
// index.js

var natural = require('natural');

console.log(natural.HammingDistance("karolin", "kathrin", false));
console.log(natural.HammingDistance("karolin", "kerstin", false));
console.log(natural.HammingDistance("short string", "longer string", false));

## stemming-output.js
[ 'go', 'friend' ]

## stemming-index.js
// index.js

var natural = require('natural');

natural.PorterStemmer.attach();
console.log("I can see that we are going to be friends".tokenizeAndStem());

## tokenization-output.js
[ 'The',
  'quick',
  'brown',
  'fox',
  'jumps',
  'over',
  'the',
  'lazy',
  'dog' ]

## tokenization-index.js
// index.js

var natural = require('natural');
var tokenizer = new natural.WordTokenizer();

console.log(tokenizer.tokenize("The quick brown fox jumps over the lazy dog"));
	// index.js

	var natural = require('natural');
	var Analyzer = natural.SentimentAnalyzer;
	var stemmer = natural.PorterStemmer;
	var analyzer = new Analyzer("English", stemmer, "afinn");

	// getSentiment ожидает массив строк
	console.log(analyzer.getSentiment(["I", "don't", "want", "to", "play", "with", "you"]));
	// index.js

	var natural = require('natural');

	var classifier = new natural.BayesClassifier();
	classifier.addDocument('i am long qqqq', 'buy');
	classifier.addDocument('buy the q\'s', 'buy');
	classifier.addDocument('short gold', 'sell');
	classifier.addDocument('sell gold', 'sell');
	classifier.train();
	// index.js

	var natural = require('natural');

	console.log(natural.HammingDistance("karolin", "kathrin", false));
	console.log(natural.HammingDistance("karolin", "kerstin", false));
	console.log(natural.HammingDistance("short string", "longer string", false));
	// index.js

	var natural = require('natural');

	natural.PorterStemmer.attach();
	console.log("I can see that we are going to be friends".tokenizeAndStem());
	[ 'The',
	'quick',
	'brown',
	'fox',
	'jumps',
	'over',
	'the',
	'lazy',
	'dog' ]
	// index.js

	var natural = require('natural');
	var tokenizer = new natural.WordTokenizer();

	console.log(tokenizer.tokenize("The quick brown fox jumps over the lazy dog"));