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textir (version 1.8-8)

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

826

Version

1.8-8

License

GPL-3

Maintainer

Matt Taddy

Last Published

August 9th, 2012

Functions in textir (1.8-8)

polynomial roots

Cubic and quadratic function solvers
freq

Frequency Matrix Conversion
summary.mnlm

mnlm summary
predict.topics

topic predict
summary.pls

pls summary
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
corr

Sparse Matrix Correlation
plot.mnlm

Multinomial logistic regression Plots
tfidf

Term Frequency * Inverse Document Frequency
coef.mnlm

mnlm coefficients
topicVar

topic variance
summary.topics

topic summary
plot.pls

pls plot
sdev

Sparse Matrix Standard Deviation
wsjibm

WSJ Stories on IBM
textir-package

Inverse Regression for Text
congress109

Ideology in Political Speeches
rdir

Dirichlet RNG
predict.pls

pls predict
topics

Estimation for Topic Models
normalize

Normalize
plot.topics

topic plots
predict.mnlm

mnlm predict
we8there

On-Line Restaurant Reviews
pls

Partial Least Squares