tweet‑sentiment is a Node‑JS command‑line tool that uses a pretrained Support Vector Machine to classify the polarity (positive, negative or neutral) of Twitter messages, following the NRC‑Canada tweet‑sentiment methodology. It’s aimed at developers, data scientists, or anyone who needs a quick, install‑and‑run solution for bulk sentiment analysis of tweet datasets.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of planeshifter/tweet-sentiment
the complete solution for node.js command-line programs
CSV parsing implementing the Node.js `stream.Transform` API
A modern universal utility library.
Classified facial expression emoticons database with polarity, used for the emotional sentiment analysis package
Support Vector Machine for nodejs
Extensions of the Array.prototype object
fasttag part of speech tagger implementation
A practical functional library for JavaScript programmers.
Support Vector Machines
BDD/TDD assertion library for node.js and the browser. Test framework agnostic.
takes json-cov output into stdin and POSTs to coveralls.io
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use ca
Static analysis tool for JavaScript
simple, flexible, fun test framework
Support the repos that depend on this repository
Top contributors
Planeshifter
40 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet
