JSPM – compromise@7.0.5

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compromise

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Readme

natural language processing, actually in the browser

_{by
Spencer Kelly and

contributors}

_{(formerly nlp_compromise)}

npm install compromise

inspect and play with english text.

focus on being handy, and not overly-fancy.

💥Welcome to v7💥

a lot has changed!

```javascript let r = nlp('I look just like buddy holly.') r.sentences().toPastTense() r.out('text') // "I looked just like buddy holly." ```

200k

just a javascript file

86%

on the Penn treebank

🙏

npm install compromise

IE9+

caniuse, youbetcha

demos | quickStart | docs | accuracy

no training, configuration, or prolog

the idea is, reach-in to a part of the text, and change it:

```javascript r = nlp('john is really nice. sara sings loudly.')

r.match('#Person').toUpperCase() //JOHN is really nice. SARA sings loudly.

//or pluck-out some parts, r.remove('#Adverb') // "JOHN is nice. SARA sings."

//replacements, r.replace('is nice', 'is bad') // "JOHN is bad. SARA sings."

//fancy! r.sentences().toNegative() // "JOHN is not bad. SARA doesn't sing."

<div align="left">
  grab those parts, and <b>analyze-the-heck</b> out of them:
</div>
```javascript
r = nlp(chomskyFanFic)
r.places().sort('freq').unique().data()
/*[
  {text: 'MIT lecture hall'},
  {text: '23 Desperado dr.'},
  {text: 'desert island'},
]*/

r.questions().not('^but how .+').data()
/* [] */

🤗 🤗 🤗 🤗 🤗 🤗 🤗 🤗 🤗 🤗

Part-of-Speech Tagging

Named-Entity Resolution

Verb Conjugation

Inflection/Pluralization

###Client-side: ```html ```

###Tense:

let r = nlp('she sells seashells by the seashore.')
r.sentences().toFutureTense().out('text')
//'she will sell seashells...'

r.verbs().conjugate()
// [{ PastTense: 'sold',
//    Infinitive: 'sell',
//    Gerund: 'selling', ...
// }]

###Plural/singular:

r = nlp('a bottle of beer on the wall.')
r.nouns().first().toPlural()
r.out('text')
//'The bottles of beer on the wall.'

###Negation:

r = nlp('london is calling')
r.sentences().toNegative()
// 'london is not calling'

###Number interpretation:

r = nlp('fifth of december')

r.values().toCardinal().out('text')
// 'five of december'

r.values().toNumber().out('text')
// '5 of december'

###Normalization:

r = nlp("the guest-singer's björk at seven thirty.").normalize().out('text')
// 'The guest singer is Bjork at 7:30.'

###Named-entity recognition:

r = nlp('the opera about richard nixon visiting china')
r.topics().data()
// [
//   { text: 'richard nixon' },
//   { text: 'china' }
// ]

###Fancy outputs:

r = nlp('Tony Hawk won').out('html')
/*
<span>
  <span class="Person Noun MalePerson">Tony Hawk</span>
  <span>&nbsp;</span>
  <span class="Verb PastTense">won</span>
</span>
*/

and yes, ofcourse, there's a lot more stuff.

Join in!

we're fun, we're using semver, and moving fast. 🛠️ get involved 💃

###Don't forget about:

naturalNode - decidedly fancier, statistical nlp in javascript, too
SuperScript - clever conversation engine in js
NodeBox Linguistics - conjugation, inflection in javascript
reText - very impressive text utilities in javascript
jsPos - js-build of the time-tested Brill-tagger
spaCy - speedy, multilingual tagger in C/python

For the former promise-library, see jnewman/compromise (Thanks Joshua!)

(also don't forget NLTK, GATE, Stanford, and Illinois toolkit ) ❤️️

[![Codacy Badge](https://api.codacy.com/project/badge/Coverage/82cc8ebd98b64ed199d7be6021488062)](https://www.codacy.com/app/spencerkelly86/nlp_compromise)