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seededlda (version 0.8.4)

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

0.8.4

License

GPL-3

Issues

11

Pull Requests

0

Stars

76

Forks

15

Maintainer

Kohei Watanabe

Last Published

March 23rd, 2023

Functions in seededlda (0.8.4)

print.textmodel_lda

Print method for a LDA model
predict.textmodel_lda

Prediction method for textmodel_lda
topics

Extract most likely topics
sizes

Compute the sizes of topics
divergence

[Experimental] Compute the divergence of topics
data_corpus_moviereviews

Movie reviews from Pang and Lee (2004)
terms

Extract most likely terms
textmodel_lda

Semisupervised Latent Dirichlet allocation