TextRegression: Predict continuous valued outputs associated with text...

In johnmyleswhite/TextRegression: Predict continuous valued outputs associated with text documents.

Description

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.

References

This code is inspired by Noah Smith's work.

Examples

library('TextRegression')

library('TextRegression')

text <- c('saying text is good',
'saying text once and saying text twice is better',
'saying text text text is best',
'saying text once is still ok',
'not saying it at all is bad',
'because text is a good thing',
'we all like text',
'even though sometimes it is missing')

y <- c(1, 2, 3, 1, 0, 1, 1, 0)

results <- regress.text(text, y)

print(results)

johnmyleswhite/TextRegression documentation built on May 19, 2019, 5:17 p.m.