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textir (version 1.5.3)

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

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Version

Install

install.packages('textir')

Monthly Downloads

305

Version

1.5.3

License

LGPL

Maintainer

Matt Taddy

Last Published

April 15th, 2011

Functions in textir (1.5.3)

plot.mnlm

Multinomial logistic regression Plots
congress109

Ideology in Political Speeches
predict.topics

topic predict
topics

Estimation for Topic Models
freq

Frequency Matrix Conversion
corr

Sparse Matrix Correlation
predict.mnlm

mnlm predict
wsjibm

WSJ Stories on IBM
pls

Partial Least Squares
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
plot.pls

pls plot
textir-package

Inverse Regression for Text
tpx

textir `tpx' functions.
we8there

On-Line Restaurant Reviews
sdev

Sparse Matrix Standard Deviation
summary.mnlm

mnlm summary
predict.pls

pls predict
summary.pls

pls summary
plot.topics

topic plots
tfidf

Term Frequency * Inverse Document Frequency
cubic

Cubic function solver
normalize

Normalize
rdir

Dirichlet RNG
summary.topics

topic summary