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    2.0.6 • Public • Published


    NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.

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    Prepare raw text for Natural Language Processing (NLP) using wink-nlp-utils. It offers a set of APIs to work on strings such as names, sentences, paragraphs and tokens represented as an array of strings/words. They perform the required pre-processing for many ML tasks such as semantic search, and classification.


    Use npm to install:

    npm install wink-nlp-utils --save

    Getting Started

    The wink-nlp-utils provides over 36 utility functions for Natural Language Processing tasks. Some representative examples are extracting person's name from a string, compose training corpus for a chat bot, sentence boundary detection, tokenization and stop words removal:

    // Load wink-nlp-utils
    var nlp = require( 'wink-nlp-utils' );
    // Extract person's name from a string:
    var name = nlp.string.extractPersonsName( 'Dr. Sarah Connor M. Tech., PhD. - AI' );
    console.log( name );
    // -> 'Sarah Connor'
    // Compose all possible sentences from a string:
    var str = '[I] [am having|have] [a] [problem|question]';
    console.log( nlp.string.composeCorpus( str ) );
    // -> [ 'I am having a problem',
    // ->   'I am having a question',
    // ->   'I have a problem',
    // ->   'I have a question' ]
    // Sentence Boundary Detection.
    var para = 'AI Inc. is focussing on AI. I work for AI Inc. My mail is r2d2@yahoo.com';
    console.log( nlp.string.sentences( para ) );
    // -> [ 'AI Inc. is focussing on AI.',
    //      'I work for AI Inc.',
    //      'My mail is r2d2@yahoo.com' ]
    // Tokenize a sentence.
    var s = 'For details on wink, check out http://winkjs.org/ URL!';
    console.log( nlp.string.tokenize( s, true ) );
    // -> [ { value: 'For', tag: 'word' },
    //      { value: 'details', tag: 'word' },
    //      { value: 'on', tag: 'word' },
    //      { value: 'wink', tag: 'word' },
    //      { value: ',', tag: 'punctuation' },
    //      { value: 'check', tag: 'word' },
    //      { value: 'out', tag: 'word' },
    //      { value: 'http://winkjs.org/', tag: 'url' },
    //      { value: 'URL', tag: 'word' },
    //      { value: '!', tag: 'punctuation' } ]
    // Remove stop words:
    var t = nlp.tokens.removeWords( [ 'mary', 'had', 'a', 'little', 'lamb' ] );
    console.log( t );
    // -> [ 'mary', 'little', 'lamb' ]

    Try experimenting with these examples on Runkit in the browser.


    Check out the wink NLP utilities API documentation to learn more.

    Need Help?

    If you spot a bug and the same has not yet been reported, raise a new issue or consider fixing it and sending a pull request.

    About wink

    Wink is a family of open source packages for Statistical Analysis, Natural Language Processing and Machine Learning in NodeJS. The code is thoroughly documented for easy human comprehension and has a test coverage of ~100% for reliability to build production grade solutions.

    Copyright & License

    wink-nlp-utils is copyright 2017-19 GRAYPE Systems Private Limited.

    It is licensed under the terms of the MIT License.


    npm i wink-nlp-utils

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