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textir (version 1.6-3)

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

826

Version

1.6-3

License

GPL-3

Maintainer

Matt Taddy

Last Published

August 25th, 2011

Functions in textir (1.6-3)

pls

Partial Least Squares
normalize

Normalize
predict.mnlm

mnlm predict
cubic

Cubic function solver
predict.topics

topic predict
tpx

textir `tpx' functions.
topics

Estimation for Topic Models
congress109

Ideology in Political Speeches
plot.mnlm

Multinomial logistic regression Plots
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
sdev

Sparse Matrix Standard Deviation
summary.topics

topic summary
plot.topics

topic plots
summary.pls

pls summary
tfidf

Term Frequency * Inverse Document Frequency
we8there

On-Line Restaurant Reviews
plot.pls

pls plot
corr

Sparse Matrix Correlation
textir-package

Inverse Regression for Text
summary.mnlm

mnlm summary
predict.pls

pls predict
freq

Frequency Matrix Conversion
rdir

Dirichlet RNG
wsjibm

WSJ Stories on IBM