seededlda: Seeded Sequential LDA for Topic Modeling (original) (raw)
Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
| Version: | 1.4.2 |
|---|---|
| Depends: | R (≥ 3.5.0), quanteda (≥ 4.0.0) |
| Imports: | methods, proxyC (≥ 0.3.1), Matrix |
| LinkingTo: | Rcpp, RcppArmadillo (≥ 0.7.600.1.0), quanteda, testthat |
| Suggests: | spelling, testthat, topicmodels |
| Published: | 2025-01-08 |
| DOI: | 10.32614/CRAN.package.seededlda |
| 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,https://koheiw.github.io/seededlda/ |
| NeedsCompilation: | yes |
| Language: | en-US |
| Citation: | seededlda citation info |
| Materials: | NEWS |
| CRAN checks: | seededlda results |
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