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textir (version 1.7-2)

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

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Version

Install

install.packages('textir')

Monthly Downloads

305

Version

1.7-2

License

GPL-3

Maintainer

Matt Taddy

Last Published

December 1st, 2011

Functions in textir (1.7-2)

predict.mnlm

mnlm predict
normalize

Normalize
tfidf

Term Frequency * Inverse Document Frequency
corr

Sparse Matrix Correlation
summary.topics

topic summary
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
rdir

Dirichlet RNG
predict.pls

pls predict
congress109

Ideology in Political Speeches
predict.topics

topic predict
summary.mnlm

mnlm summary
sdev

Sparse Matrix Standard Deviation
cubic

Cubic function solver
wsjibm

WSJ Stories on IBM
textir-package

Inverse Regression for Text
freq

Frequency Matrix Conversion
plot.pls

pls plot
summary.pls

pls summary
plot.mnlm

Multinomial logistic regression Plots
pls

Partial Least Squares
plot.topics

topic plots
topics

Estimation for Topic Models
we8there

On-Line Restaurant Reviews