coherence

Helper function for calculating coherence for a single topic's worth of terms

Calculates topic-specific diagnostics (e.g. mean token length, exclusivity) for
Latent Dirichlet Allocation and Correlated Topic Models fit using the 'topicmodels' package.
For more details, see Chapter 12 in Airoldi et al. (2014, ISBN:9781466504080),
pp 262-272 Mimno et al. (2011, ISBN:9781937284114), and Bischof et al. (2014) <arXiv:1206.4631v1>.

Doug Friedman

topicdoc

Topic-Specific Diagnostics for LDA and CTM Topic Models

coherence function

<dl><dt>dtm_data</dt>
<dd>a document-term matrix of token counts coercible to <code>simple_triplet_matrix</code></dd>
<dt>top_terms</dt>
<dd>a character vector of the top terms for a given topic</dd>
<dt>smoothing_beta</dt>
<dd>a numeric indicating the value to use to smooth the document frequencies
in order avoid log zero issues, the default is 1</dd></dl>

Arguments

Helper function for calculating coherence for a single topic's worth of terms — coherence

<dl>

<dt>dtm_data</dt>
<dd>a document-term matrix of token counts coercible to <code>simple_triplet_matrix</code></dd>


<dt>top_terms</dt>
<dd>a character vector of the top terms for a given topic</dd>


<dt>smoothing_beta</dt>
<dd>a numeric indicating the value to use to smooth the document frequencies
in order avoid log zero issues, the default is 1</dd>

</dl>

coherence: Helper function for calculating coherence for a single topic's worth of terms

Description

Usage

Value

Arguments