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keyATM  

Keyword Assisted Topic Models
View on CRAN: Click here


Download and install keyATM package within the R console
Install from CRAN:
install.packages("keyATM")

Install from Github:
library("remotes")
install_github("cran/keyATM")

Install by package version:
library("remotes")
install_version("keyATM", "0.5.3")



Attach the package and use:
library("keyATM")
Maintained by
Shusei Eshima
[Scholar Profile | Author Map]
First Published: 2020-04-15
Latest Update: 2023-05-11
Description:
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) .
How to cite:
Shusei Eshima (2020). keyATM: Keyword Assisted Topic Models. R package version 0.5.3, https://cran.r-project.org/web/packages/keyATM. Accessed 30 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-04-15 14:50), 0.2.0 (2020-05-23 14:30), 0.2.2 (2020-06-03 01:30), 0.3.0 (2020-07-13 00:50), 0.3.1 (2020-07-29 07:10), 0.4.0 (2021-02-14 18:40), 0.4.1 (2022-06-11 17:40), 0.4.2 (2023-01-06 19:50), 0.5.0 (2023-05-11 09:20), 0.5.1 (2024-02-05 00:30), 0.5.2 (2024-04-24 16:50)
Other packages that cited keyATM R package
View keyATM citation profile
Other R packages that keyATM depends, imports, suggests or enhances
Complete documentation for keyATM
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