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textir (version 1.7-3)

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

1.7-3

License

GPL-3

Maintainer

Matt Taddy

Last Published

December 27th, 2011

Functions in textir (1.7-3)

plot.pls

pls plot
corr

Sparse Matrix Correlation
plot.mnlm

Multinomial logistic regression Plots
predict.topics

topic predict
plot.topics

topic plots
summary.mnlm

mnlm summary
cubic

Cubic function solver
rdir

Dirichlet RNG
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
congress109

Ideology in Political Speeches
wsjibm

WSJ Stories on IBM
freq

Frequency Matrix Conversion
tfidf

Term Frequency * Inverse Document Frequency
summary.topics

topic summary
sdev

Sparse Matrix Standard Deviation
summary.pls

pls summary
topics

Estimation for Topic Models
normalize

Normalize
predict.mnlm

mnlm predict
pls

Partial Least Squares
predict.pls

pls predict
we8there

On-Line Restaurant Reviews
textir-package

Inverse Regression for Text