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nlp-toolkit

This module covers some basic nlp principles and implementations. Every implementation in this module is written as stream to only hold that data in memory that is currently processed at any step.

Natural Language Processing Toolkit for node.js

This module covers some basic nlp principles and implementations. The main focus is performance. When we deal with sample or training data in nlp, we quickly run out of memory. Therefore every implementation in this module is written as stream to only hold that data in memory that is currently processed at any step.

npm install nlp-toolkit

Frequency distribution of words in texts. Tokenize, remove stopwords, stem words, count words. Traditionally those steps happen sequentially. But we do not need to tokenize the whole text before removing stopwords.

var nlp = require('nlp-toolkit');
var fs = require('fs');
var es = require('event-stream');
 
fs.createReadStream('./pride_prejudice.txt')
.pipe(es.split())
.pipe(nlp.tokenizer())
.pipe(nlp.stopwords())
.pipe(nlp.stemmer())
.pipe(nlp.frequency())
.on('data', function (freqDist) {
  console.log(freqDist.slice(0, 10));
})
.on('error', function (err) {
  console.error(err);
});
.pipe(nlp.tokenizer(options))

options:

attribute type description
characters RegExp regular expression that describes what characters to strip of off (default /[^\w]/g).
separator RegExp regular expression that describes where to split words (default /\s/g).
eliminateNumbers boolean discard tokens that only contain numbers (default false).
toLowerCase boolean transform every token to lower case (default true).
emptyStrings boolean keep empty string when through some previous steps tokens result in length === 0 (default false).

Tokenizer also work in a non-stream context:

var tokens = nlp.tokenizer(string, options);
.pipe(nlp.stopwords(options))

options:

attribute type description
defaultLang string default language if processed object does not provide a lang attribute (default en).
additionalWords object add additional stopwords to the list of stopwords

additionalWords:

attribute type description
all array list of stopwords to add to every language
default array list of stopwords if language is not supported
lang array list of stopwords specific to lang

Supported languages: da, de, en, es, fi, fr, hu, it, nl, no, pt, ro, ru, se, tr.

Stopwords also work in a non-stream context:

nlp.stopwords(sentence, options)
.then(function (tokens) {}})
.catch(function (err) { console.error(err); });
.pipe(nlp.stemmer(options))

options:

attribute type description
defaultStemmer string default stemmer for language if processed object does not provide a lang attribute (default en).

Supported languages: da, de, en, es, fi, fr, hu, it, nl, no, pt, ro, ru, se, tr.

Stopwords also work in a non-stream context:

var tokens = nlp.stemmer(sentence, options);

This module uses the stemmer implementation of Snowball-Stemmer.

.pipe(nlp.frequency())