Description Usage Arguments Value Examples

View source: R/topic_modeling_utilities.R

Function calls `GetProbableTerms`

with some
rules to get topic labels. This function is in "super-ultra-mega alpha"; use
at your own risk/discretion.

1 | ```
LabelTopics(assignments, dtm, M = 2)
``` |

`assignments` |
A documents by topics matrix similar to |

`dtm` |
A document term matrix of class |

`M` |
The number of n-gram labels you want to return. Defaults to 2 |

Returns a `matrix`

whose rows correspond to topics and whose
j-th column corresponds to the j-th "best" label assignment.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
# make a dtm with unigrams and bigrams
data(nih_sample_topic_model)
m <- nih_sample_topic_model
assignments <- t(apply(m$theta, 1, function(x){
x[ x < 0.05 ] <- 0
x / sum(x)
}))
assignments[is.na(assignments)] <- 0
labels <- LabelTopics(assignments = assignments, dtm = m$data, M = 2)
``` |

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