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.


Reference manual

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install.packages("RTextTools")

1.4.3 by Loren Collingwood, 6 years ago


http://www.rtexttools.com/


Browse source code at https://github.com/cran/RTextTools


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


Documentation:   PDF Manual  


GPL-3 license


Imports methods, randomForest, tree, nnet, tm, e1071, ipred, caTools, glmnet, tau

Depends on SparseM


See at CRAN