LDA topic modeling for node.js
How the donated funds are distributed
Kivach works on the Obyte network, and therefore you can track all donations.
This project provides a Node.js implementation of Latent Dirichlet Allocation (LDA) for topic modeling, allowing developers to extract topics and related keywords from text documents using a probabilistic machine learning algorithm. It's designed for JavaScript developers working with Node.js who need to perform topic modeling on text data, such as analyzing document collections, content categorization, or building text-based applications.