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textir (version 1.5-4)

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

1.5-4

License

LGPL

Maintainer

Matt Taddy

Last Published

April 24th, 2011

Functions in textir (1.5-4)

congress109

Ideology in Political Speeches
normalize

Normalize
corr

Sparse Matrix Correlation
predict.pls

pls predict
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
tpx

textir `tpx' functions.
plot.topics

topic plots
summary.topics

topic summary
summary.mnlm

mnlm summary
predict.topics

topic predict
plot.pls

pls plot
cubic

Cubic function solver
summary.pls

pls summary
topics

Estimation for Topic Models
rdir

Dirichlet RNG
plot.mnlm

Multinomial logistic regression Plots
freq

Frequency Matrix Conversion
textir-package

Inverse Regression for Text
pls

Partial Least Squares
sdev

Sparse Matrix Standard Deviation
predict.mnlm

mnlm predict
wsjibm

WSJ Stories on IBM
we8there

On-Line Restaurant Reviews
tfidf

Term Frequency * Inverse Document Frequency