Implements the seeded-LDA model (Lu, Ott, Cardie & Tsou 2010) <doi:10.1109/ICDMW.2011.125> 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) <doi:10.1177/0894439320907027>.
| Version: | 0.5 |
| Depends: | R (≥ 3.5.0), quanteda (> 2.0), methods |
| Imports: | Matrix |
| LinkingTo: | Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0), quanteda |
| Suggests: | testthat, quanteda.textmodels |
| Published: | 2020-09-10 |
| Author: | Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph] (GibbsLDA++) |
| Maintainer: | Kohei Watanabe <watanabe.kohei at gmail.com> |
| BugReports: | https://github.com/koheiw/seededlda/issues |
| License: | GPL-3 |
| URL: | https://github.com/koheiw/seededlda |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | seededlda results |
| Reference manual: | seededlda.pdf |
| Package source: | seededlda_0.5.tar.gz |
| Windows binaries: | r-devel: not available, r-release: seededlda_0.5.zip, r-oldrel: seededlda_0.5.zip |
| macOS binaries: | r-release: seededlda_0.5.tgz, r-oldrel: seededlda_0.5.tgz |
Please use the canonical form https://CRAN.R-project.org/package=seededlda to link to this page.