sizes

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

Implements the seeded-LDA model (Lu, Ott, Cardie & Tsou 2010) <doi:10.1109/ICDMW.2011.125> using the quanteda package and the GibbsLDA++ library for semisupervised topic modeling.
Seeded-LDA allows users to pre-define topics with keywords to perform theory-driven analysis of textual data in social sciences and humanities (Watanabe & Zhou 2020) <doi:10.1177/0894439320907027>.

Kohei Watanabe

seededlda

Seeded-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

Arguments