Package: RTextTools
Type: Package
Title: Automatic Text Classification via Supervised Learning
Version: 1.4.3
Date: 2020-04-24
Author: Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun,
        Emiliano Grossman, Wouter van Atteveldt
Maintainer: Loren Collingwood <loren.collingwood@gmail.com>
Depends: R (>= 3.6.0), SparseM
Imports: methods, randomForest, tree, nnet, tm, e1071, ipred, caTools,
        glmnet, tau
Description: 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.
License: GPL-3
URL: http://www.rtexttools.com/
NeedsCompilation: yes
Repository: CRAN
Packaged: 2020-04-25 16:53:15 UTC; lorencollingwood
Date/Publication: 2020-04-26 01:10:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-29 07:30:55 UTC; unix
Archs: RTextTools.so.dSYM
