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, forthcoming).
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> algorithms based on the GibbsLDA++ library.
Version: |
0.9.1 |
Depends: |
R (≥ 3.5.0), quanteda (≥ 3.3.0), methods, proxyC (≥ 0.3.1) |
Imports: |
Matrix |
LinkingTo: |
Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0), quanteda |
Suggests: |
testthat, topicmodels |
Published: |
2023-05-01 |
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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=seededlda
to link to this page.