topwords: Calculates topwords for estimated model topics
In erossiter/sitsr: R wrapper for SITS
Description
Usage
Arguments
Details
Value
See Also
Description
Calculates topwords for estimated model topics
Usage
1
Arguments
logbeta
Estimates returned from readSits()
n
Number of top words to return.
w
A weight used in STM's FREX scoring algorithm.
wordcounts
A vector of wordcounts for each unique word in vocabulary.
Details
...
Value
List of highest probability words per topic and FREX words per topic.
See Also
labelTopics, calcfrex
erossiter/sitsr documentation built on May 23, 2019, 7:34 a.m.
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Description Usage Arguments Details Value See Also
Description
Calculates topwords for estimated model topics
Usage
1 |
Arguments
logbeta |
Estimates returned from readSits() |
n |
Number of top words to return. |
w |
A weight used in STM's FREX scoring algorithm. |
wordcounts |
A vector of wordcounts for each unique word in vocabulary. |
Details
...
Value
List of highest probability words per topic and FREX words per topic.
See Also
labelTopics, calcfrex
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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