quanteda (version 0.9.9-3)

textmodel_ca: correspondence analysis of a document-feature matrix

Description

textmodel_ca implements correspondence analysis scaling on a dfm. Currently the method is a wrapper to ca.matrix in the ca package.

Usage

textmodel_ca(data, smooth = 0, ...)

Arguments

data

the dfm on which the model will be fit

smooth

a smoothing parameter for word counts; defaults to zero.

...

additional arguments passed to ca.matrix

Examples

ieDfm <- dfm(data_corpus_irishbudget2010)
wca <- textmodel_ca(ieDfm)
summary(wca)