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) <arXiv:1206.4631v1>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | slam, topicmodels |
| Suggests: | knitr, rmarkdown, testthat (≥ 2.1.0) |
| Published: | 2019-10-18 |
| Author: | Doug Friedman [aut, cre] |
| Maintainer: | Doug Friedman <doug.nhp at gmail.com> |
| BugReports: | https://github.com/doug-friedman/topicdoc/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/doug-friedman/topicdoc |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | NaturalLanguageProcessing |
| CRAN checks: | topicdoc results |
| Reference manual: | topicdoc.pdf |
| Vignettes: |
Basic usage |
| Package source: | topicdoc_0.1.0.tar.gz |
| Windows binaries: | r-devel: topicdoc_0.1.0.zip, r-release: topicdoc_0.1.0.zip, r-oldrel: topicdoc_0.1.0.zip |
| macOS binaries: | r-release: topicdoc_0.1.0.tgz, r-oldrel: topicdoc_0.1.0.tgz |
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