@nlpjs/similarity

@nlpjs/similarity

TABLE OF CONTENTS

• Installation
• leven
• similarity
• SpellCheck
• SpellCheck trained with words trained from a text
• Contributing
• Contributors
• Code of Conduct
• Who is behind it
• License

Installation

You can install @nlpjs/similarity:

    npm install @nlpjs/similarity

leven

It's used to calculate the levenshtein distance between two texts:

const { leven } = require('@nlpjs/similarity');

console.log(leven('potatoe', 'potatoe')); // expected: 0
console.log(leven('distance', 'eistancd')); // expected: 2
console.log(leven('mikailovitch', 'Mikhaïlovitch')); // expected: 3

similarity

It's used to calculate the levenshtein distance between two texts, but with an option to normalize both texts between calculation.

const { similarity } = require('@nlpjs/similarity');

function showDistances(word1, word2) {
  console.log(`"${word1}" vs "${word2}" :`);
  console.log(`    similarity (non normalized): ${similarity(word1, word2)}`);
  console.log(
    `        similarity (normalized): ${similarity(word1, word2, true)}`
  );
}

showDistances('potatoe', 'potatoe');
showDistances('potatoe', 'Potatoe');
showDistances('distance', 'eistancd');
showDistances('mikailovitch', 'Mikhaïlovitch');

SpellCheck

It can do spell check based on a dictionary of words with frequency. It search for the most similar word based on levenshtein distance. When several words has the same levenshtein distance, the word with more frequency is chosen.

const { SpellCheck } = require('../../packages/similarity/src');
// const { SpellCheck } = require('@nlpjs/similarity');

const spellCheck = new SpellCheck({
  features: {
    wording: 1,
    worming: 4,
    working: 3,
  },
});
const actual = spellCheck.check(['worling'], 1);
console.log(actual);

SpellCheck trained with words trained from a text

const fs = require('fs');
const { SpellCheck } = require('@nlpjs/similarity');
const { NGrams } = require('@nlpjs/utils');

// File book.txt should contain the text that contains the words to be learnt. 
// In the example we used Pride and Prejudice from Project Gutenberg 
const lines = fs.readFileSync('./data/book.txt', 'utf-8').split(/\r?\n/);
const ngrams = new NGrams({ byWord: true });
const freqs = ngrams.getNGramsFreqs(lines, 1);
const spellCheck = new SpellCheck({ features: freqs });
const actual = spellCheck.check(['knowldge', 'thas', 'prejudize']);
console.log(actual);

Contributing

You can read the guide of how to contribute at Contributing.

Contributors

Made with contributors-img.

Code of Conduct

You can read the Code of Conduct at Code of Conduct.

Who is behind it?

This project is developed by AXA Group Operations Spain S.A.

If you need to contact us, you can do it at the email [e-mail]

License

Copyright (c) AXA Group Operations Spain S.A.

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.