Sentiment Analysis

The Sentiment Analysis module is able to calculate the sentiment based on the AFINN. Languages accepted:

• eu: Basque
• bn: Bengali
• ca: Catalan
• en: English
• es: Spanish
• nl: Dutch
• fr: French
• it: Italian
• de: German
• gl: Galician
• da: Danish
• fi: Finnish
• ru: Russian
• pt: Portuguese

Language	AFINN	Senticon	Pattern	Negations
Basque		X
Bengali	X
Catalan		X
Danish	X
Dutch			X	X
English	X	X	X	X
French			X
Galician		X
Italian			X
Spanish	X	X		X
German		X		X
Finnish	X
Russian	X
Portuguese	X			X

By default Senticon is used if possible, otherwise AFINN, and last one Pattern:

Language	AFINN	Senticon	Pattern
Bengali	X
Basque		X
Catalan		X
Dutch			X
English		X
French			X
Galician		X
Italian			X
Spanish		X
German		X

You can use a SentimentAnalyzer if you want to manage only one language:

const { SentimentAnalyzer } = require('node-nlp');

const sentiment = new SentimentAnalyzer({ language: 'en' });
sentiment
    .getSentiment('I like cats')
    .then(result => console.log(result));
// { score: 0.313,
//   numWords: 3,
//   numHits: 1,
//   comparative: 0.10433333333333333,
//   type: 'senticon',
//   language: 'en' }

sentiment
    .getSentiment('cats are stupid')
    .then(result => console.log(result));
// { score: -0.458,
//   numWords: 3,
//   numHits: 1,
//   comparative: -0.15266666666666667,
//   type: 'senticon',
//   language: 'en' }

Or you can use the SentimentManager if you want to manage several languages:

const { SentimentManager } = require('node-nlp');

const sentiment = new SentimentManager();
sentiment
    .process('en', 'I like cats')
    .then(result => console.log(result));
// { score: 0.313,
//   numWords: 3,
//   numHits: 1,
//   comparative: 0.10433333333333333,
//   type: 'senticon',
//   language: 'en' }

sentiment
    .process('es', 'Los gatitos son amor')
    .then(result => console.log(result));
// { score: 0.278,
//   comparative: 0.0695,
//   vote: 'positive',
//   numWords: 4,
//   numHits: 1,
//   type: 'senticon',
//   language: 'es' }