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    dracula-sentiment

    1.1.1 • Public • Published

    dracula-sentiment-node

    dracula.js

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    View on npm »

    A quick way to get "good enough" sentiment analysis into your applications, this package uses character and word-level embeddings and LSTM networks to decide if a given text is either "positive" or "negative".

    Installation

    npm install dracula-sentiment --save
    

    Usage

    var dracula = require('dracula-sentiment');
    var text = "xoxo cant wait";
    // Output a 'positive', 'negative', or 'neutral' label
    console.log(text, dracula.analyze(text));
    // To output a [negative, neutral, positive] float array
    console.log(text, dracula.score(text));
    

    For best performance and accuracy, remove any non-ascii characters by converting them to their closest equivalents via unidecode or something similar, and feed it sentence-sized chunks of text.

    Testing

    npm test
    

    Tests aren't very extensive at present.

    Contributing

    If you encounter any sentences where the classification is obviously wrong, open an issue and we'll work out a way to extend Dracula's training data so that it doesn't happen. Contributions to clean up the code and improve its style and performance are certainly welcome!

    Release

    • 1.0.0 Original release
    • 1.1.0 Adds a new function to get the underlying scores
    • 1.1.1 Documentation and npm package updates

    Install

    npm i dracula-sentiment

    DownloadsWeekly Downloads

    3

    Version

    1.1.1

    License

    BSD-3-Clause

    Last publish

    Collaborators

    • sentimentron