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RTextTools: 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.
Getting started
Browse package contents
Package details |
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| Author | Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt |
| Maintainer | Loren Collingwood <loren.collingwood@gmail.com> |
| License | GPL-3 |
| Version | 1.4.3 |
| URL | http://www.rtexttools.com/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the RTextTools package in your browser
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