Predict continuous valued outputs associated with text documents. The input corpus of text documents is transformed into a documentterm matrix (DTM) and then a regularized linear regression is fit that uses this matrix as predictors to predict the continuous valued output. The corpus's terms, coefficients for all terms and an estimate of the model's predictive power are returned in a list.
Package details 


Author  John Myles White 
Maintainer  John Myles White <[email protected]> 
License  Artistic2.0 
Version  0.13 
Package repository  View on GitHub 
Installation 
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