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topicdoc  

Topic-Specific Diagnostics for LDA and CTM Topic Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("topicdoc", "0.1.1")



Attach the package and use:
library("topicdoc")
Maintained by
Doug Friedman
[Scholar Profile | Author Map]
First Published: 2019-10-18
Latest Update: 2022-07-17
Description:
Calculates topic-specific diagnostics (e.g. mean token length, exclusivity) for Latent Dirichlet Allocation and Correlated Topic Models fit using the 'topicmodels' package. For more details, see Chapter 12 in Airoldi et al. (2014, ISBN:9781466504080), pp 262-272 Mimno et al. (2011, ISBN:9781937284114), and Bischof et al. (2014) <doi:10.48550/arXiv.1206.4631>.
How to cite:
Doug Friedman (2019). topicdoc: Topic-Specific Diagnostics for LDA and CTM Topic Models. R package version 0.1.1, https://cran.r-project.org/web/packages/topicdoc. Accessed 06 May. 2025.
Previous versions and publish date:
0.1.0 (2019-10-18 14:40)
Other packages that cited topicdoc R package
View topicdoc citation profile
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Complete documentation for topicdoc
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