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.
This is free and open source software.
Website: github.com/paulkagiri/RTextTools
Support:
Developer: Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt
License: GNU General Public License v3.0
RTextTools is written in R. Learn R with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
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