coherence: Helper function for calculating coherence for a single...
In topicdoc: Topic-Specific Diagnostics for LDA and CTM Topic Models
View source: R/topic_coherence.R
coherence R Documentation
Helper function for calculating coherence for a single topic's worth of terms
Description
Helper function for calculating coherence for a single topic's worth of terms
Usage
coherence(dtm_data, top_terms, smoothing_beta)
Arguments
dtm_data
a document-term matrix of token counts coercible to simple_triplet_matrix
top_terms
a character vector of the top terms for a given topic
smoothing_beta
a numeric indicating the value to use to smooth the document frequencies
in order avoid log zero issues, the default is 1
Value
a numeric indicating coherence for the topic
topicdoc documentation built on July 17, 2022, 1:05 a.m.
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View source: R/topic_coherence.R
| coherence | R Documentation |
Helper function for calculating coherence for a single topic's worth of terms
Description
Helper function for calculating coherence for a single topic's worth of terms
Usage
coherence(dtm_data, top_terms, smoothing_beta)
Arguments
dtm_data |
a document-term matrix of token counts coercible to |
top_terms |
a character vector of the top terms for a given topic |
smoothing_beta |
a numeric indicating the value to use to smooth the document frequencies in order avoid log zero issues, the default is 1 |
Value
a numeric indicating coherence for the 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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