shinyLDA: shinyLDA
In ABMI/SOCRATex: Staged Optimization of Curation, Regularization, and Annotation of clinical Text
Description
This function is implementing LDAvis into RShint form especially for SOCRATex application.
Usage
1
shinyLDA(dtm, k, iter, alpha)
Arguments
dtm
DocumentTerm Matrix which can be used for LDA analysis.
k
The number of topics(clusters) want to analyze.
iter
The number of Learning iterations.
alpha
Tha alpha parameter of the Latent Dirichlet Allocation.
ABMI/SOCRATex documentation built on March 20, 2021, 11:01 a.m.
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Description
This function is implementing LDAvis into RShint form especially for SOCRATex application.
Usage
1 | shinyLDA(dtm, k, iter, alpha)
|
Arguments
dtm |
DocumentTerm Matrix which can be used for LDA analysis. |
k |
The number of topics(clusters) want to analyze. |
iter |
The number of Learning iterations. |
alpha |
Tha alpha parameter of the Latent Dirichlet Allocation. |
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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