Learn R Programming

⚠️There's a newer version (2.0-5) of this package.Take me there.

textir (version 1.8-6)

Inverse Regression for Text Analysis

Description

A suite of tools for text and sentiment mining. This includes the `mnlm' function, for sparse multinomial logistic regression, `pls', a concise partial least squares routine, and the `topics' function, for efficient estimation and dimension selection in latent topic models.

Copy Link

Version

Install

install.packages('textir')

Monthly Downloads

826

Version

1.8-6

License

GPL-3

Maintainer

Matt Taddy

Last Published

June 12th, 2012

Functions in textir (1.8-6)

textir-package

Inverse Regression for Text
predict.topics

topic predict
plot.pls

pls plot
corr

Sparse Matrix Correlation
plot.mnlm

Multinomial logistic regression Plots
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
topics

Estimation for Topic Models
tfidf

Term Frequency * Inverse Document Frequency
we8there

On-Line Restaurant Reviews
coef.mnlm

mnlm coefficients
sdev

Sparse Matrix Standard Deviation
normalize

Normalize
rdir

Dirichlet RNG
summary.topics

topic summary
pls

Partial Least Squares
plot.topics

topic plots
topicVar

topic variance
predict.mnlm

mnlm predict
congress109

Ideology in Political Speeches
summary.mnlm

mnlm summary
polynomial roots

Cubic and quadratic function solvers
freq

Frequency Matrix Conversion
wsjibm

WSJ Stories on IBM
predict.pls

pls predict
summary.pls

pls summary