Detect the polarity of text, based on afinn-165 and emoji-emotion.

npm:

npm install polarity

var polarity = require('polarity')

polarity(['some', 'positive', 'happy', 'cats'])

Yields:

{
  polarity: 5,
  positivity: 5,
  negativity: 0,
  positive: ['happy', 'positive'],
  negative: []
}

polarity(['darn', 'self-deluded', 'abandoned', 'dogs'])

Yields:

{
  polarity: -4,
  positivity: 0,
  negativity: -4,
  positive: [],
  negative: ['abandoned', 'self-deluded']
}

Get a polarity result from given values, optionally with one time injections.

polarity does not tokenise values. There are better tokenisers around (parse-latin). However, the following will work pretty good:

function tokenize(value) {
  return value.toLowerCase().match(/\S+/g)
}

• words (Array.<string>) — Words to parse
• inject (Object.<number>, optional) — Custom valences for words

Object:

• polarity (number) — Calculated polarity of input
• positivity (number) — Total positivity
• negativity (number) — Total negativity
• positive (Array.<string>) — All positive words
• negative (Array.<string>) — All negative words

Insert custom values.

Direct access to the internal values.

• afinn-96 — AFINN list from 2009, containing 1468 entries
• afinn-111 — AFINN list from 2011, containing 2477 entries
• afinn-169 — AFINN list from 2015, containing 3382 entries
• emoji-emotion — Like AFINN, but for emoji

MIT © Titus Wormer