CRAN/E | RTextTools

RTextTools

Automatic Text Classification via Supervised Learning

Installation

About

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.

www.rtexttools.com/

Key Metrics

Version 1.4.3
R ≥ 3.6.0
Published 2020-04-26 1455 days ago
Needs compilation? yes
License GPL-3
CRAN checks RTextTools results

Downloads

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Last 30 days 743 +3%
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Last 365 days 12.797 -42%

Maintainer

Maintainer

Loren Collingwood

loren.collingwood@gmail.com

Authors

Timothy P. Jurka
Loren Collingwood
Amber E. Boydstun
Emiliano Grossman
Wouter van Atteveldt

Material

ChangeLog
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RTextTools archive

Depends

R ≥ 3.6.0
SparseM

Imports

methods
randomForest
tree
nnet
tm
e1071
ipred
caTools
glmnet
tau