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textir (version 1.8-1)

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

432

Version

1.8-1

License

GPL-3

Maintainer

Matt Taddy

Last Published

February 29th, 2012

Functions in textir (1.8-1)

plot.mnlm

Multinomial logistic regression Plots
summary.topics

topic summary
plot.topics

topic plots
corr

Sparse Matrix Correlation
tfidf

Term Frequency * Inverse Document Frequency
textir-package

Inverse Regression for Text
predict.topics

topic predict
we8there

On-Line Restaurant Reviews
sdev

Sparse Matrix Standard Deviation
topicVar

topic variance
congress109

Ideology in Political Speeches
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
normalize

Normalize
summary.mnlm

mnlm summary
predict.mnlm

mnlm predict
polynomial roots

Cubic and quadratic function solvers
summary.pls

pls summary
wsjibm

WSJ Stories on IBM
plot.pls

pls plot
topics

Estimation for Topic Models
freq

Frequency Matrix Conversion
predict.pls

pls predict
rdir

Dirichlet RNG
pls

Partial Least Squares
coef.mnlm

mnlm coefficients