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html-stemmer

v1.0.5

Published

Extracts all [porter2] stemmed words from an HTML file, with the goal of aiding web-based NLP

Downloads

19

Vulnerabilities

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Links

Git

Maintainers

marcelpmarcelp

Keywords

nlpstemmerhtmlhtml-stemmerstop-wordsstemporterporter2stopwordsunescaperunescape

Readme

html-stemmer

Main repo: https://github.com/marcelpuyat/html-stemmer

Overview

Extracts all words from a file, filtering out HTML tags, stemming using Porter2 and filtering out stop words.

Install

npm install html-stemmer

Usage

var htmlStemmer = require('html-stemmer');

htmlStemmer.initialize();

htmlStemmer.getStemmedWords('filename', function(stemmedWordsArray) {
	console.log(stemmedWordsArray); // Prints out all stemmed words in 'filename'
});

Documentation

initialize(options)

Initializes the stemmer, using default options when not specified.

Example:

Options:

Note that all of these are optional

  • includeTags - true or false. Filters out html tags (i.e. '<body>' is deleted) when false. false by default
  • filters - An object that maps regular expressions to what they should be replaced by.
    // Example that filters '&apos;' into an apostrophe and '&quot;' into a quotation mark
filters = {};
  
filters[/&apos;/gi] = '\'';
filters[/&quot;/gi] = '"';
  
htmlStemmer.initialize({
  filters: filters
});
  • stopWords - true or false. Excludes stop words (i.e. 'for', 'to', etc.) from final array returned by getStemmedWords if true. List of stop words used is available here. true by default.
  • caseSensitive - true or false. Converts all characters to lowercase when false. false by default.
  • stemmed - true or false. Stems each word using Porter2 when true. true by default.
  • delimiter - A RegExp delimiter that is used to split the data into tokens. By default, /[^A-Za-z]+/gi is used.

getStemmedWords(filePath, callbackFn)

Returns an array containing all stemmed words according to the options specified in initialize. Because file reading is done asynchronously, a callback function is required to get the array of stemmed words.

Example: