RTextTools: a machine learning library for text classification
From the post:
RTextTools v1.3 was released on August 21, and the package binaries are now available on CRAN. This update fixes a major bug with the stemmers, and it is highly recommended you upgrade to the latest version. Other changes include optimization of existing functions and improvements to the documentation.
Additionally, Duncan Temple Lang has graciously released Rstem on CRAN, meaning that the RTextTools package is now fully installable using the install.packages(“RTextTools”) command within R 2.13+. The repository at install.rtexttools.com will continue to work through the end of September.
From about the project:
RTextTools is a free, open source machine learning package for automatic text classification that makes it simple for both novice and advanced users to get started with supervised learning. The package includes nine algorithms for ensemble classification (SVM, SLDA, BOOSTING, BAGGING, RF, GLMNET, TREE, NNET, MAXENT), comprehensive analytics, and thorough documentation.