keyATM: Keyword Assisted Topic Models

Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the latent dirichlet allocation (LDA) models with a small number of keywords selected by researchers in order to improve the interpretability and topic classification of the LDA. The keyATM can also incorporate covariates and directly model time trends. The keyATM is proposed in Eshima, Imai, and Sasaki (2023) <doi:10.1111/ajps.12779>.

Version: 0.5.0
Depends: R (≥ 4.0)
Imports: Rcpp (≥ 1.0.7), cli (≥ 3.6.1), dplyr (≥ 1.1.0), fastmap, future.apply, fs (≥ 1.6.0), ggplot2 (≥ 3.4.0), ggrepel, magrittr, Matrix, matrixNormal (≥ 0.1.0), MASS, pgdraw, purrr (≥ 1.0.0), quanteda (≥ 3.3.0), rlang (≥ 1.1.0), stringr, tibble, tidyr (≥ 1.0.0), tidyselect (≥ 1.2.0)
LinkingTo: Rcpp, RcppEigen, cli
Suggests: readtext, stats, testthat (≥ 3.1.5)
Published: 2023-05-11
Author: Shusei Eshima ORCID iD [aut, cre], Tomoya Sasaki [aut], Kosuke Imai [aut], Chung-hong Chan ORCID iD [ctb], Romain Fran├žois ORCID iD [ctb], William Lowe [ctb], Seo-young Silvia Kim ORCID iD [ctb]
Maintainer: Shusei Eshima <shuseieshima at gmail.com>
BugReports: https://github.com/keyATM/keyATM/issues
License: GPL-3
URL: https://keyatm.github.io/keyATM/
NeedsCompilation: yes
SystemRequirements: C++17
Citation: keyATM citation info
Materials: NEWS
CRAN checks: keyATM results

Documentation:

Reference manual: keyATM.pdf

Downloads:

Package source: keyATM_0.5.0.tar.gz
Windows binaries: r-devel: keyATM_0.5.0.zip, r-release: keyATM_0.5.0.zip, r-oldrel: keyATM_0.5.0.zip
macOS binaries: r-release (arm64): keyATM_0.5.0.tgz, r-oldrel (arm64): keyATM_0.5.0.tgz, r-release (x86_64): keyATM_0.5.0.tgz, r-oldrel (x86_64): keyATM_0.5.0.tgz
Old sources: keyATM archive

Reverse dependencies:

Reverse imports: oolong
Reverse suggests: seededlda, sentopics

Linking:

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