sizes

Compute the sizes of topics as the proportions of topic words in the corpus.

Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>.
Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.

Kohei Watanabe

seededlda

Seeded Sequential LDA for Topic Modeling

Phan Xuan-Hieu

sizes function

<dl><dt>x</dt>
<dd>a LDA model fitted by <code>textmodel_seededlda()</code> or <code>textmodel_lda()</code></dd></dl>

Arguments

Compute the sizes of topics — sizes

<dl>

<dt>x</dt>
<dd>a LDA model fitted by <code>textmodel_seededlda()</code> or <code>textmodel_lda()</code></dd>

</dl>

sizes: Compute the sizes of topics

Description

Usage

Value

Arguments