RTextTools: Automatic Text Classification via Supervised Learning

A machine learning package for automatic text classification that makes it simple for novice users to get started with machine learning, while allowing experienced users to easily experiment with different settings and algorithm combinations. The package includes eight algorithms for ensemble classification (svm, slda, boosting, bagging, random forests, glmnet, decision trees, neural networks), comprehensive analytics, and thorough documentation.

Getting started

Package details

AuthorTimothy P. Jurka, Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt
MaintainerLoren Collingwood <loren.collingwood@gmail.com>
URL http://www.rtexttools.com/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the RTextTools package in your browser

Any scripts or data that you put into this service are public.

RTextTools documentation built on April 26, 2020, 9:05 a.m.