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.
| 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 |
| 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:
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