RTextTools (1.3.8)

Automatic Text Classification via Supervised Learning.


RTextTools is 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 nine algorithms for ensemble classification (svm, slda, boosting, bagging, random forests, glmnet, decision trees, neural networks, maximum entropy), comprehensive analytics, and thorough documentation.

Maintainer: Tim Jurka
Author(s): Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt

License: GPL-3

Uses: caTools, e1071, glmnet, ipred, maxent, nnet, randomForest, SparseM, tau, tm, tree
Reverse suggests: RNewsflow

Released almost 8 years ago.