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seededlda (version 0.8.1)

Seeded-LDA for Topic Modeling

Description

Implements the seeded-LDA model (Lu, Ott, Cardie & Tsou 2010) 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) .

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Install

install.packages('seededlda')

Monthly Downloads

598

Version

0.8.1

License

GPL-3

Issues

11

Pull Requests

0

Stars

76

Forks

15

Maintainer

Kohei Watanabe

Last Published

March 28th, 2022

Functions in seededlda (0.8.1)

terms

Extract most likely terms
print.textmodel_lda

Print method for a LDA model
topics

Extract most likely topics
textmodel_lda

Semisupervised Latent Dirichlet allocation
divergence

Optimize the number of topics
predict.textmodel_lda

Prediction method for textmodel_lda