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textir (version 1.8-4)

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, for efficient estimation and dimension selection in latent topic models.

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Version

Install

install.packages('textir')

Monthly Downloads

305

Version

1.8-4

License

GPL-3

Maintainer

Matt Taddy

Last Published

April 7th, 2012

Functions in textir (1.8-4)

normalize

Normalize
polynomial roots

Cubic and quadratic function solvers
pls

Partial Least Squares
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
rdir

Dirichlet RNG
summary.pls

pls summary
plot.topics

topic plots
textir-package

Inverse Regression for Text
we8there

On-Line Restaurant Reviews
topics

Estimation for Topic Models
corr

Sparse Matrix Correlation
summary.mnlm

mnlm summary
predict.mnlm

mnlm predict
plot.mnlm

Multinomial logistic regression Plots
predict.topics

topic predict
plot.pls

pls plot
tfidf

Term Frequency * Inverse Document Frequency
freq

Frequency Matrix Conversion
predict.pls

pls predict
summary.topics

topic summary
wsjibm

WSJ Stories on IBM
topicVar

topic variance
congress109

Ideology in Political Speeches
sdev

Sparse Matrix Standard Deviation