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textir (version 1.8-7)

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

1.8-7

License

GPL-3

Maintainer

Matt Taddy

Last Published

August 3rd, 2012

Functions in textir (1.8-7)

coef.mnlm

mnlm coefficients
tfidf

Term Frequency * Inverse Document Frequency
we8there

On-Line Restaurant Reviews
pls

Partial Least Squares
corr

Sparse Matrix Correlation
plot.pls

pls plot
predict.pls

pls predict
topics

Estimation for Topic Models
predict.topics

topic predict
plot.mnlm

Multinomial logistic regression Plots
polynomial roots

Cubic and quadratic function solvers
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
sdev

Sparse Matrix Standard Deviation
topicVar

topic variance
wsjibm

WSJ Stories on IBM
freq

Frequency Matrix Conversion
predict.mnlm

mnlm predict
textir-package

Inverse Regression for Text
rdir

Dirichlet RNG
summary.topics

topic summary
plot.topics

topic plots
summary.mnlm

mnlm summary
congress109

Ideology in Political Speeches
normalize

Normalize
summary.pls

pls summary