RTextTools: Automatic Text Classification via Supervised Learning
Version 1.4.2

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.

Getting started

Package details

AuthorTimothy P. Jurka, Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt
Date of publication2014-01-19 09:07:18
MaintainerTimothy P. Jurka <tpjurka@ucdavis.edu>
URL http://www.rtexttools.com/
Package repositoryView on CRAN
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RTextTools documentation built on May 29, 2017, 12:05 p.m.