Estimate a CTM model using for example the VEM algorithm.

models

Provides an interface to the C code for Latent Dirichlet
Allocation (LDA) models and Correlated Topics Models
(CTM) by David M. Blei and co-authors and the C++ code
for fitting LDA models using Gibbs sampling by Xuan-Hieu
Phan and co-authors.

Bettina Gruen

topicmodels

Topic Models

Bettina Grün

Kurt Hornik

David M Blei

John D Lafferty

Xuan-Hieu Phan

Makoto Matsumoto

Takuji Nishimura

Shawn Cokus

CTM function

<dl> <dt>x</dt>
<dd>Object of class <code>"DocumentTermMatrix"</code> with
 term-frequency weighting or an object coercible to a
 <code>"simple_triplet_matrix"</code> with integer entries.</dd> <dt>k</dt>
<dd>Integer; number of topics.</dd> <dt>method</dt>
<dd>The method to be used for fitting; currently only
 <code>method = "VEM"</code> is supported.</dd> <dt>control</dt>
<dd>A named list of the control parameters for estimation
 or an object of class <code>"CTM_VEMcontrol"</code>.</dd> <dt>model</dt>
<dd>Object of class <code>"CTM"</code> for initialization.</dd> <dt>...</dt>
<dd>Currently not used.</dd></dl>

Arguments

Author

Correlated Topic Model — CTM

<dl>

 <dt>x</dt>
<dd>Object of class <code>"DocumentTermMatrix"</code> with
 term-frequency weighting or an object coercible to a
 <code>"simple_triplet_matrix"</code> with integer entries.</dd>

 <dt>k</dt>
<dd>Integer; number of topics.</dd>

 <dt>method</dt>
<dd>The method to be used for fitting; currently only
 <code>method = "VEM"</code> is supported.</dd>

 <dt>control</dt>
<dd>A named list of the control parameters for estimation
 or an object of class <code>"CTM_VEMcontrol"</code>.</dd>

 <dt>model</dt>
<dd>Object of class <code>"CTM"</code> for initialization.</dd>

 <dt>...</dt>
<dd>Currently not used.</dd>

</dl>

Correlated Topic Model

CTM: Correlated Topic Model

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples