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

@matteocacciola/sentiment

v1.4.1

Published

Collection of functions for sentiment analysis

Downloads

9

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

matteocacciolamatteocacciola

Keywords

sentimentanalysisTwitterFacebookInstagramTikTokYouTubeAPINews

Readme

Sentiment Analysis for Node.js

Coverage Status

This library aims to provide a support for the analysis of texts, like the evaluation of Sentiment or Text Matching. Please, consult the various methods here provided in order to have a wide overview of the possible features.

Installation

In order to install the library, please use

npm i @matteocacciola/sentiment

Notes

The available methods allow to use evaluations of Sentiment and scores by means of predefined strategies, already implemented within this package, or by using a custom and self-implemented Sentiment classifier, e.g. obtained by training suitable Machine Learning structures. If you want to consult possible algorithms you can train, please feel free to be inspired by my Machine Learning codes like Support Vector Machines, Convolutional Neural Network, Multilayer Perceptron Artificial Neural Network, Fuzzy C-means and so forth.