topicmodels (version 0.2-6)

CTM: Correlated Topic Model

Description

Estimate a CTM model using for example the VEM algorithm.

Usage

CTM(x, k, method = "VEM", control = NULL, model = NULL, ...)

Arguments

x

Object of class "DocumentTermMatrix" with term-frequency weighting or an object coercible to a "simple_triplet_matrix" with integer entries.

k

Integer; number of topics.

method

The method to be used for fitting; currently only method = "VEM" is supported.

control

A named list of the control parameters for estimation or an object of class "CTM_VEMcontrol".

model

Object of class "CTM" for initialization.

…

Currently not used.

Value

CTM() returns an object of class "".

Details

The C code for CTM from David M. Blei and co-authors is used to estimate and fit a correlated topic model.

References

Blei D.M., Lafferty J.D. (2007). A Correlated Topic Model of Science. The Annals of Applied Statistics, 1(1), 17--35.

See Also

""

Examples

data("AssociatedPress", package = "topicmodels")
ctm <- CTM(AssociatedPress[1:20,], k = 2)