terms: Extract most likely terms
In koheiw/quanteda.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$phi for likelihood scores.
Value
a character matrix with the most frequent words in each topic.
koheiw/quanteda.seededlda documentation built on Jan. 26, 2025, 11:42 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| terms | R Documentation |
Extract most likely terms
Description
terms() returns the most likely terms, or words, for topics based on the
phi parameter.
Usage
terms(x, n = 10)
Arguments
x |
a LDA model fitted by |
n |
number of terms to be extracted. |
Details
Users can access the original matrix x$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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.