flashtext-ts v1.0.5

flashtext-ts

A Typescript port of Python flashtext package.

This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm.

Installation

npm install flashtext-ts
yarn add flashtext-ts
pnpm add flashtext-ts

Usage

Extract keywords

const flashtext = new FlashText();

flashtext.addKeyword('Big Apple', 'New York');
flashtext.addKeyword('Bay Area');

const keywordsExtracted = flashtext.extractKeywords('I love Big Apple and Bay Area.');

// keywordsExtracted = ['New York', 'Bay Area']

Replace keywords

const flashtext = new FlashText();

flashtext.addKeyword('Big Apple', 'New York');
flashtext.addKeyword('Bay Area', '6ay Area');

const newSentence = flashtext.replaceKeywords('I love Big Apple and Bay Area.');

// newSentence = I love New York and 6ay Area.

Case Sensitive

const flashtext = new FlashText(true);

flashtext.addKeyword('Big Apple', 'New York');
flashtext.addKeyword('Bay Area');

const keywordsExtracted = flashtext.extractKeywords('I love big Apple and Bay Area.');

// keywordsExtracted = ['Bay Area']

Span of keywords extracted

const flashtext = new FlashText();

flashtext.addKeyword('Big Apple', 'New York');
flashtext.addKeyword('Bay Area');

const keywordsExtracted = flashtext.extractKeywords('I love Big Apple and Bay Area.', true);

/*
  keywordsExtracted = [
    ['New York', 7, 16],
    ['Bay Area', 21, 29]
  ]
*/

Add multiple keywords simultaneously

const flashtext = new FlashText();

const keywordMap = {
  "javascript": ["JS", "JScript"],
  "typescript": ["TS", "TScript"],
};

flashtext.addKeywordsFromDict(keywordMap);
flashtext.addKeywordsFromList(["coffeescript", "programming"]);

const keywordsExtracted = flashtext.extractKeywords("I know JS, TS, Coffeescript and just know how to do programming stuff.");

// keywordsExtracted = ['javascript', 'typescript', 'coffeescript', 'programming']

Remove keywords

const flashtext = new FlashText();

const keywordMap = {
  "javascript": ["JS", "JScript"],
  "typescript": ["TS", "TScript"],
};

flashtext.addKeywordsFromDict(keywordMap);
flashtext.addKeywordsFromList(["coffeescript", "programming"]);

flashtext.removeKeyword("JS");
flashtext.removeKeywordsFromDict({ JS: ["JScript"] });
flashtext.removeKeywordsFromList(["programming", "coffeescript"]);

const keywordsExtracted = flashtext.extractKeywords("I know JS, TS, Coffeescript and just know how to do programming stuff.");

// keywordsExtracted = ['typescript']

Check number of terms in Flashtext

const flashtext = new FlashText();

const keywordMap = {
  "javascript": ["JS", "JScript"],
  "typescript": ["TS", "TScript"],
};

flashtext.addKeywordsFromDict(keywordMap);

const length = flashtext.length;
// length = 4

Check if term is present in the Flashtext

const flashtext = new FlashText();

const keywordMap = {
  "javascript": ["JS", "JScript"],
  "typescript": ["TS", "TScript"],
};

flashtext.addKeywordsFromDict(keywordMap);

flashtext.getKeyword('JS'); // "javascript"
flashtext.contains('TS'); // true

Get all keywords in Flashtext

const flashtext = new FlashText();

const keywordMap = {
  "javascript": ["JS", "JScript"],
  "typescript": ["TS", "TScript"],
};

flashtext.addKeywordsFromDict(keywordMap);

const keywords = flashtext.getAllKeywords();

/*
  keywords = {
    "js": "javascript",
    "jscript": "javascript",
    "ts": "typescript",
    "tscript": "typescript"
  }
*/

Add characters as part of word

const flashtext = new FlashText();

flashtext.addKeyword('Big Apple');
flashtext.extractKeywords('I love Big Apple/Bay Area.'); // ['Big Apple']

flashtext.addNonWordBoundary('/');
flashtext.extractKeywords('I love Big Apple/Bay Area.'); // []

Tests

npm run test
yarn test
pnpm test

License

The project is licensed under the MIT license.