terms: Extract most likely terms
In seededlda: Seeded Sequential LDA for Topic Modeling
terms R Documentation
Extract most likely terms
Description
terms() returns the most likely terms, or words, for topics based on the
phi parameter.
Usage
terms(x, n = 10)
Arguments
x
a LDA model fitted by textmodel_seededlda() or textmodel_lda().
n
number of terms to be extracted.
Details
Users can access the original matrix x$phi for likelihood scores.
Value
a character matrix with the most frequent words in each topic.
seededlda documentation built on April 4, 2025, 2:33 a.m.
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| terms | R Documentation |
Extract most likely terms
Description
terms() returns the most likely terms, or words, for topics based on the
phi parameter.
Usage
terms(x, n = 10)
Arguments
x |
a LDA model fitted by |
n |
number of terms to be extracted. |
Details
Users can access the original matrix x$phi for likelihood scores.
Value
a character matrix with the most frequent words in each topic.
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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