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
Packaged: 2026-10-10 12:54:43 UTC; root
Config/pak/sysreqs: libxml2-dev
Repository: https://lorenc5.r-universe.dev
Date/Publication: 2020-04-26 00:10:02 UTC
RemoteUrl: https://github.com/cran/RTextTools
RemoteRef: HEAD
RemoteSha: 95f6a1b20bc214e15e3d631b093ada19254675e4