calcscore {stm} | R Documentation |
Calculate Score Words
Description
A primarily internal function for calculating words according to the score metric.
We expect most users will use labelTopics
instead.
Usage
calcscore(logbeta)
Arguments
logbeta |
a K by V matrix containing the log probabilities of seeing word v conditional on topic k |
Details
Score is a metric which we include because it is used effectively in the lda package by Jonathan Chang. It is calculated as:
\beta_{v, k} (\log \beta_{w,k} - 1 / K \sum_{k'} \log \beta_{v,k'})
References
Jonathan Chang (2015). lda: Collapsed Gibbs Sampling Methods for Topic Models. R package version 1.4.2. https://CRAN.R-project.org/package=lda
See Also
[Package stm version 1.3.7 Index]