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.

Version: 1.4.3
Depends: R (≥ 3.6.0), SparseM
Imports: methods, randomForest, tree, nnet, tm, e1071, ipred, caTools, glmnet, tau
Published: 2020-04-26
Author: Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt
Maintainer: Loren Collingwood <loren.collingwood at gmail.com>
License: GPL-3
URL: http://www.rtexttools.com/
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: RTextTools results

Documentation:

Reference manual: RTextTools.pdf

Downloads:

Package source: RTextTools_1.4.3.tar.gz
Windows binaries: r-devel: RTextTools_1.4.3.zip, r-devel-UCRT: RTextTools_1.4.3.zip, r-release: RTextTools_1.4.3.zip, r-oldrel: RTextTools_1.4.3.zip
macOS binaries: r-release (arm64): RTextTools_1.4.3.tgz, r-release (x86_64): RTextTools_1.4.3.tgz, r-oldrel: RTextTools_1.4.3.tgz
Old sources: RTextTools archive

Linking:

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