Learn R Programming

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

textir (version 1.5.2)

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 (beta), for efficient estimation and dimension selection in latent topic models.

Copy Link

Version

Install

install.packages('textir')

Monthly Downloads

826

Version

1.5.2

License

LGPL

Maintainer

Matt Taddy

Last Published

April 14th, 2011

Functions in textir (1.5.2)

freq

Frequency Matrix Conversion
plot.mnlm

Multinomial logistic regression Plots
topics

Estimation for Topic Models
predict.topics

topic predict
wsjibm

WSJ Stories on IBM
pls

Partial Least Squares
textir-package

Inverse Regression for Text
plot.topics

topic plots
sdev

Sparse Matrix Standard Deviation
summary.topics

topic summary
predict.pls

pls predict
corr

Sparse Matrix Correlation
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
we8there

On-Line Restaurant Reviews
rdir

Dirichlet RNG
congress109

Ideology in Political Speeches
cubic

Cubic function solver
tpx

textir `tpx' functions.
plot.pls

pls plot
normalize

Normalize
predict.mnlm

mnlm predict
tfidf

Term Frequency * Inverse Document Frequency
summary.mnlm

mnlm summary
summary.pls

pls summary