mallet.topic.labels: Get strings containing the most probable words for each topic
In mallet: A wrapper around the Java machine learning tool MALLET
Description
Usage
Arguments
See Also
Description
This function returns a vector of strings, one for each topic, with the most probable words in that topic separated by spaces.
Usage
1
mallet.topic.labels(topic.model, topic.words, num.top.words)
Arguments
topic.model
The model returned by MalletLDA
topic.words
The matrix of topic-word weights returned by mallet.topic.words
num.top.words
The number of words to include for each topic
See Also
mallet.topic.words produces topic-word weights. mallet.top.words produces a data frame for a single topic.
mallet documentation built on May 29, 2017, 10:31 p.m.
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Description Usage Arguments See Also
Description
This function returns a vector of strings, one for each topic, with the most probable words in that topic separated by spaces.
Usage
1 | mallet.topic.labels(topic.model, topic.words, num.top.words)
|
Arguments
topic.model |
The model returned by |
topic.words |
The matrix of topic-word weights returned by |
num.top.words |
The number of words to include for each topic |
See Also
mallet.topic.words produces topic-word weights. mallet.top.words produces a data frame for a single topic.
mallet documentation built on May 29, 2017, 10:31 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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