RTextTools (1.4.1)
Automatic Text Classification via Supervised Learning.
http://www.rtexttools.com/
http://cran.r-project.org/web/packages/RTextTools
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
Released 3 months ago.
12 previous versions
- RTextTools_1.4.0. Released 8 months ago.
- RTextTools_1.3.9. Released 9 months ago.
- RTextTools_1.3.8. Released about 1 year ago.
- RTextTools_1.3.7. Released about 1 year ago.
- RTextTools_1.3.6. Released over 1 year ago.
- RTextTools_1.3.5. Released over 1 year ago.
- RTextTools_1.3.4. Released over 1 year ago.
- RTextTools_1.3.3. Released over 1 year ago.
- RTextTools_1.3.2. Released over 1 year ago.
- RTextTools_1.3.1. Released over 1 year ago.
- RTextTools_1.3. Released almost 2 years ago.
- RTextTools_1.2. Released almost 2 years ago.
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Visit RTextTools on R Graphical Manual.
