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    wink-sentiment

    5.0.2¬†‚Äʬ†Public¬†‚Äʬ†Published

    wink-sentiment

    Accurate & fast sentiment scoring of phrases with #hashtags, emoticons:) & emojisūüéČ

    Build Status Coverage Status dependencies Status devDependencies Status Gitter

    Analyze sentiment of tweets, product reviews, social media content or any text using wink-sentiment. It is based on AFINN and Emoji Sentiment Ranking; it's features include:

    1. Intelligent negation handling; for example, phrase "good product" will get a positive score whereas "not a good product" gets a negative score.
    2. Automatic detection and scoring of two-word phrases in a text; for example, "cool stuff", "well done", and "short sighted".
    3. Processes each emoji, emoticon and/or hashtag separately while scoring.
    4. Embeds a powerful tokenizer that returns the tokenized phrase.
    5. Returns the sentiment score and tokens. Each token contains a set of properties defining its sentiment, if any.
    6. Achieves accuracy of 77%, when validated using Amazon Product Review Sentiment Labelled Sentences Data Set at UCI Machine Learning Repository.

    Installation

    Use npm to install:

    npm install wink-sentiment --save
    

    Getting Started

    // Load wink-sentiment package.
    var sentiment = require( 'wink-sentiment' );
    // Just give any phrase and checkout the sentiment score. A positive score
    // means a positive sentiment, whereas a negative score indicates a negative
    // sentiment. Neutral sentiment is signalled by a near zero score.
     
    // Positive sentiment text.
    sentiment( 'Excited to be part of the @imascientist team:-)!' );
    // -> { score: 5,
    //      normalizedScore: 2.5,
    //      tokenizedPhrase: [
    //        { value: 'Excited', tag: 'word', score: 3 },
    //        { value: 'to', tag: 'word' },
    //        { value: 'be', tag: 'word' },
    //        { value: 'part', tag: 'word' },
    //        { value: 'of', tag: 'word' },
    //        { value: 'the', tag: 'word' },
    //        { value: '@imascientist', tag: 'mention' },
    //        { value: 'team', tag: 'word' },
    //        { value: ':-)', tag: 'emoticon', score: 2 },
    //        { value: '!', tag: 'punctuation' }
    //      ]
    //    }
     
    // Negative sentiment text.
    console.log( sentiment( 'Not a good product :(' ) );
    // -> { score: -5,
    //      normalizedScore: -2.5,
    //      tokenizedPhrase: [
    //        { value: 'Not', tag: 'word' },
    //        { value: 'a', tag: 'word', negation: true },
    //        { value: 'good', tag: 'word', negation: true, score: -3 },
    //        { value: 'product', tag: 'word' },
    //        { value: ':(', tag: 'emoticon', score: -2 }
    //      ]
    //    }
     
    // Neutral sentiment text.
    console.log( sentiment( 'I will meet you tomorrow.' ) );
    // -> { score: 0,
    //      normalizedScore: 0,
    //      tokenizedPhrase: [
    //        { value: 'I', tag: 'word' },
    //        { value: 'will', tag: 'word' },
    //        { value: 'meet', tag: 'word' },
    //        { value: 'you', tag: 'word' },
    //        { value: 'tomorrow', tag: 'word' },
    //        { value: '.', tag: 'punctuation' }
    //      ]
    //    }

    Try experimenting with this example and more on Runkit in the browser.

    Documentation

    Check out the wink sentiment 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-sentiment is copyright 2017-18 GRAYPE Systems Private Limited.

    It is licensed under the terms of the MIT License.

    Install

    npm i wink-sentiment

    DownloadsWeekly Downloads

    651

    Version

    5.0.2

    License

    MIT

    Unpacked Size

    332 kB

    Total Files

    29

    Homepage

    winkjs.org/

    Last publish

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