JSPM

  • ESM via JSPM
  • ES Module Entrypoint
  • Export Map
  • Keywords
  • License
  • Repository URL
  • TypeScript Types
  • README
  • Created
  • Published
  • Downloads 7
  • Score
    100M100P100Q41859F

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.

Package Exports

  • nlp-toolkit

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (nlp-toolkit) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

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.

Install

npm install nlp-toolkit

Example

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);
});