divergence

a LDA model fitted by <code><a rd-options="=textmodel_seededlda" href="/link/textmodel_seededlda()?package=seededlda&version=0.8.1&to=%3Dtextmodel_seededlda" data-mini-rdoc="=textmodel_seededlda::textmodel_seededlda()">textmodel_seededlda()</a></code> or <code><a rd-options="=textmodel_lda" href="/link/textmodel_lda()?package=seededlda&version=0.8.1&to=%3Dtextmodel_lda" data-mini-rdoc="=textmodel_lda::textmodel_lda()">textmodel_lda()</a></code>

These functions help users to find the optimal number of topics for LDA.

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

divergence function

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

Arguments

Optimize the number of topics — divergence

<dl>

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

</dl>

divergence: Optimize the number of topics

Description

Usage

Arguments

Details

References