`FitCtmModel.Rd`

A wrapper for the CTM function based on Blei's original code that returns a nicely-formatted topic model.

FitCtmModel(dtm, k, calc_coherence = TRUE, calc_r2 = FALSE, return_all = TRUE, ...)

dtm | A document term matrix of class |
---|---|

k | Number of topics |

calc_coherence | Do you want to calculate probabilistic coherence of topics
after the model is trained? Defaults to |

calc_r2 | Do you want to calculate R-squared after the model is trained?
Defaults to |

return_all | Logical. Do you want the raw results of the underlying
function returned along with the formatted results? Defaults to |

... | Other arguments to pass to CTM or TmParallelApply. |

Returns a list with a minimum of two objects, `phi`

and
`theta`

. The rows of `phi`

index topics and the columns index tokens.
The rows of `theta`

index documents and the columns index topics.