var t = require( 'wink-tokenizer' )();
var hinglish = 'द्रविड़ ने टेस्ट में ३६ शतक जमाए, उनमें 21 विदेशी playground पर हैं।';
var french = 'Mieux vaut prévenir que
guérir:-)';
t.tokenize( hinglish );
t.tokenize( french );
Natural Language Processing
Easily break paragraphs into sentences, tokenize them, POS tag each token and even detect named entities or analyze sentiments. Some even support multiple languages.
Machine Learning
Simplify intent detection for chatbots, classification of text or image, or prediction of continuous values such as price, turn-around-time using our Naive Bayes Classifier, Regression Tree, or Multi-class Averaged Perceptron.
const data = require( 'iris-data.json' );
var p = require( 'wink-perceptron' )();
p.defineConfig( {
shuffleData: true,
maxIterations: 6
} );
p.learn( data );var stats = require( 'wink-statistics' );
var regression = stats.streaming.simpleLinearRegression();
regression.compute( 10, 80 );
regression.compute( 15, 75 );
regression.compute( 16, 65 ); // more data…
regression.result();
Statistics
Perform fast and numerically stable statistical analysis using wink-statistics. It even handles real-time stream of data and incrementally compute the required statistic.