npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

moodifyjs

v1.0.1

Published

Moodify-JS is JS library that combines sentiment analysis with music suggestions. Analyze the sentiment of a given text and get the music recommendations that match the detected mood.

Downloads

4

Readme

Moodify-JS

Moodify-JS is a versatile JavaScript library that seamlessly blends sentiment analysis with personalized music recommendations. Elevate user experiences in your applications by gauging the sentiment of provided text and dynamically generating music suggestions that resonate with the detected mood.

Installation

Install Moodify-JS effortlessly using npm:

npm install moodifyjs

Usage

const Moodify = require('moodifyjs'); const moodify = new Moodify();

const text = 'I am feeling great today!'; const sentiment = moodify.analyzeSentiment(text);

console.log(Detected mood: ${sentiment}); const musicSuggestions = moodify.getMusicSuggestions(sentiment); console.log(Music suggestions: ${musicSuggestions.join(', ')});

API Reference

analyzeSentiment(text: string): string Analyze the sentiment of the given text and return the detected mood ('happy', 'sad', or 'neutral').

getMusicSuggestions(mood: string): string[] Get music suggestions based on the provided mood.

Examples

const moodify = new Moodify();

const text = 'Feeling the vibes of a sunny day!'; const sentiment = moodify.analyzeSentiment(text);

console.log(Detected mood: ${sentiment}); const musicSuggestions = moodify.getMusicSuggestions(sentiment); console.log(Music suggestions: ${musicSuggestions.join(', ')});

Contributing Contributions are welcome! See the Contributing Guidelines for more details.

License This project is licensed under the MIT License - see the LICENSE file for details.