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textir (version 1.8-3)

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

305

Version

1.8-3

License

GPL-3

Maintainer

Matt Taddy

Last Published

March 19th, 2012

Functions in textir (1.8-3)

summary.mnlm

mnlm summary
normalize

Normalize
predict.mnlm

mnlm predict
tfidf

Term Frequency * Inverse Document Frequency
topics

Estimation for Topic Models
sdev

Sparse Matrix Standard Deviation
plot.pls

pls plot
freq

Frequency Matrix Conversion
wsjibm

WSJ Stories on IBM
pls

Partial Least Squares
predict.topics

topic predict
rdir

Dirichlet RNG
textir-package

Inverse Regression for Text
corr

Sparse Matrix Correlation
topicVar

topic variance
plot.topics

topic plots
plot.mnlm

Multinomial logistic regression Plots
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
we8there

On-Line Restaurant Reviews
summary.topics

topic summary
congress109

Ideology in Political Speeches
predict.pls

pls predict
summary.pls

pls summary
polynomial roots

Cubic and quadratic function solvers