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.
Version: 1.4.3 Depends: R (≥ 3.6.0), SparseM Imports: methods, randomForest, tree, nnet, tm, e1071, ipred, caTools, glmnet, tau Published: 2020-04-26 DOI: 10.32614/CRAN.package.RTextTools Author: Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun, Emiliano Grossman, Wouter van Atteveldt Maintainer: Loren Collingwood <loren.collingwood at gmail.com> License: GPL-3 URL: http://www.rtexttools.com/ NeedsCompilation: yes Materials: ChangeLog CRAN checks: RTextTools results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=RTextTools to link to this page.
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