johnmyleswhite/TextRegression: Predict continuous valued outputs associated with text documents.
Version 0.1-3

Predict continuous valued outputs associated with text documents. The input corpus of text documents is transformed into a document-term 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.

Getting started

Package details

AuthorJohn Myles White
MaintainerJohn Myles White <[email protected]>
LicenseArtistic-2.0
Version0.1-3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("johnmyleswhite/TextRegression")
johnmyleswhite/TextRegression documentation built on May 18, 2017, 5:11 a.m.