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textir (version 1.4)

Inverse Regression for Text Analysis

Description

A suite of tools for inference about text documents and associated sentiment. This includes the `mnlm' function, for sparse multinomial inverse regression analysis of sentiment in text, `pls', a concise partial least squares routine, and the `topics' function (beta version), for efficient estimation and model selection in latent topic representations of text.

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Version

Install

install.packages('textir')

Monthly Downloads

826

Version

1.4

License

LGPL

Maintainer

Matt Taddy

Last Published

March 22nd, 2011

Functions in textir (1.4)

predict.topics

topic predict
we8there

On-Line Restaurant Reviews
plot.pls

pls plot
wsjibm

WSJ Stories on IBM
tfidf

Term Frequency * Inverse Document Frequency
normalize

Normalize
sdev

Sparse Matrix Standard Deviation
plot.topics

topic plots
mnlm

Estimation for high-dimensional Multinomial Logistic Regression
predict.mnlm

topic predict
summary.topics

topic summary
textir-package

Inverse Regression for Text
pls

Partial Least Squares
cubic

Cubic function solver
freq

Frequency Matrix Conversion
topics

Estimation for Topic Models
corr

Sparse Matrix Correlation
congress109

Ideology in Political Speeches
plot.mnlm

Multinomial logistic regression Plots
tpx

textir `tpx' functions.
rdir

Dirichlet RNG