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keyword-extractor

v0.0.28

Published

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

Downloads

62,189

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]