npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

keyword-extractor

v0.0.28

Published

Module for creating a keyword array from a string and excluding stop words.

Downloads

37,627

Readme

Keyword Extractor

Tests Status

A simple NPM package for extracting keywords from a string by removing stopwords.

Installation

$ npm install keyword-extractor

Running tests

To run the test suite, first install the development dependencies by running the following command within the package's directory.

$ npm install

To execute the package's tests, run:

$ make test

Usage of the Module

//  include the Keyword Extractor
const keyword_extractor = require("keyword-extractor");

//  Opening sentence to NY Times Article at
/*
http://www.nytimes.com/2013/09/10/world/middleeast/
surprise-russian-proposal-catches-obama-between-putin-and-house-republicans.html
*/
const sentence =
"President Obama woke up Monday facing a Congressional defeat that many in both parties believed could hobble his presidency."

//  Extract the keywords
const extraction_result =
keyword_extractor.extract(sentence,{
    language:"english",
    remove_digits: true,
    return_changed_case:true,
    remove_duplicates: false

});

/*
  extraction result is:

  [
        "president",
        "obama",
        "woke",
        "monday",
        "facing",
        "congressional",
        "defeat",
        "parties",
        "believed",
        "hobble",
        "presidency"
    ]
*/

Options Parameters

The second argument of the extract method is an Object of configuration/processing settings for the extraction.

Parameter Name | Description | Permitted Values ---------------|-------------|----------------- language | The stopwords list to use. ISO 639-1 codes and verbose names | ar, cs, da, de, en, es, fa, fr, gl, it, ko, nl, pl, pt, ro, ru, sv, tr, vi, arabic, czech, danish, dutch, english, french, galician,german, italian, korean, persian, polish, portuguese, romanian, russian,spanish, swedish, turkish, vietnam remove_digits | Removes all digits from the results if set to true (can handle Arabic and Perisan digits too) | true or false return_changed_case | The case of the extracted keywords. Setting the value to true will return the results all lower-cased, if false the results will be in the original case. | true or false return_chained_words | Instead of returning each word separately, join the words that were originally together. Setting the value to true will join the words, if false the results will be splitted on each array element. | true or false remove_duplicates | Removes the duplicate keywords | true , false (defaults to false ) return_max_ngrams | Returns keywords that are ngrams with size 0-integer | integer , false (defaults to false )

Credits

The initial stopwords lists are taken from the following sources:

  • English [http://www.ai.mit.edu/projects/jmlr/papers/volume5/lewis04a/a11-smart-stop-list/english.stop]
  • Spanish [https://stop-words.googlecode.com/svn/trunk/stop-words/stop-words/stop-words-spanish.txt]
  • Turkish [https://github.com/ahmetax/trstop]