seededlda: Seeded Sequential LDA for Topic Modeling
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: |
1.4.1 |
| Depends: |
R (≥ 3.5.0), quanteda (≥ 4.0.0), methods, proxyC (≥ 0.3.1) |
| Imports: |
Matrix |
| LinkingTo: |
Rcpp, RcppArmadillo (≥ 0.7.600.1.0), quanteda, testthat |
| Suggests: |
spelling, testthat, topicmodels |
| Published: |
2024-09-06 |
| 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 |
Documentation:
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Reverse dependencies:
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