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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' }