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textir (version 1.7-1)

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

1.7-1

License

GPL-3

Maintainer

Matt Taddy

Last Published

September 23rd, 2011

Functions in textir (1.7-1)

plot.mnlm

Multinomial logistic regression Plots
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
plot.topics

topic plots
plot.pls

pls plot
topics

Estimation for Topic Models
corr

Sparse Matrix Correlation
cubic

Cubic function solver
summary.topics

topic summary
summary.mnlm

mnlm summary
sdev

Sparse Matrix Standard Deviation
wsjibm

WSJ Stories on IBM
textir-package

Inverse Regression for Text
normalize

Normalize
summary.pls

pls summary
freq

Frequency Matrix Conversion
we8there

On-Line Restaurant Reviews
pls

Partial Least Squares
predict.mnlm

mnlm predict
congress109

Ideology in Political Speeches
predict.pls

pls predict
predict.topics

topic predict
rdir

Dirichlet RNG
tfidf

Term Frequency * Inverse Document Frequency