R: Correlated Topic Model

CTM {topicmodels} | R Documentation

## 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.

### Details

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

### Value

`CTM()` returns an object of class `"CTM"`.

### Author(s)

Bettina Gruen

### 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

`"CTM_VEMcontrol"`

### Examples

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

[Package topicmodels version 0.2-9 Index]