RTextTools was updated to version 1.3.2 today, adding support for n-gram token analysis, a faster maximum entropy algorithm, and numerous bug fixes. The source code has been synced with the Google Code repository, so please feel free to check out a copy and add your own features!
With the core feature set of RTextTools finalized, the next major release (v1.4.0) will focus on optimizing existing code and refining the API for the package. Furthermore, my goal is to add compressed sparse matrix support for all nine algorithms to reduce memory consumption; currently maximum entropy, support vector machines, and glmnet support compressed sparse matrices.
With the core feature set of RTextTools finalized, the next major release (v1.4.0) will focus on optimizing existing code and refining the API for the package. Furthermore, my goal is to add compressed sparse matrix support for all nine algorithms to reduce memory consumption; currently maximum entropy, support vector machines, and glmnet support compressed sparse matrices.
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