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textir (version 1.6-1)

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.

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Version

Install

install.packages('textir')

Monthly Downloads

305

Version

1.6-1

License

LGPL

Maintainer

Matt Taddy

Last Published

August 2nd, 2011

Functions in textir (1.6-1)

predict.topics

topic predict
sdev

Sparse Matrix Standard Deviation
pls

Partial Least Squares
plot.mnlm

Multinomial logistic regression Plots
topics

Estimation for Topic Models
plot.pls

pls plot
normalize

Normalize
predict.mnlm

mnlm predict
we8there

On-Line Restaurant Reviews
summary.topics

topic summary
predict.pls

pls predict
tpx

textir `tpx' functions.
textir-package

Inverse Regression for Text
congress109

Ideology in Political Speeches
summary.mnlm

mnlm summary
corr

Sparse Matrix Correlation
freq

Frequency Matrix Conversion
rdir

Dirichlet RNG
wsjibm

WSJ Stories on IBM
cubic

Cubic function solver
plot.topics

topic plots
summary.pls

pls summary
tfidf

Term Frequency * Inverse Document Frequency
mnlm

Estimation for high-dimensional Multinomial Logistic Regression