Function calls `GetProbableTerms`

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

LabelTopics(assignments, dtm, M = 2)

## Arguments

assignments |
A documents by topics matrix similar to `theta` .
This will work best if this matrix is sparse, with only a few non-zero topics
per document. |

dtm |
A document term matrix of class `matrix` or `dgCMatrix` .
The columns of `dtm` should be n-grams whose colnames have a "_" where
spaces would be between the words. |

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

## Value

Returns a `matrix`

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

## Examples

#> dtm does not appear to contain ngrams. Using unigrams but ngrams will work much better.