Package: seededlda 1.4.1

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.

Authors:Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph]

seededlda_1.4.1.tar.gz
seededlda_1.4.1.zip(r-4.5)seededlda_1.4.1.zip(r-4.4)seededlda_1.4.1.zip(r-4.3)
seededlda_1.4.1.tgz(r-4.4-x86_64)seededlda_1.4.1.tgz(r-4.4-arm64)seededlda_1.4.1.tgz(r-4.3-x86_64)seededlda_1.4.1.tgz(r-4.3-arm64)
seededlda_1.4.1.tar.gz(r-4.5-noble)seededlda_1.4.1.tar.gz(r-4.4-noble)
seededlda_1.4.1.tgz(r-4.4-emscripten)seededlda_1.4.1.tgz(r-4.3-emscripten)
seededlda.pdf |seededlda.html
seededlda/json (API)
NEWS

# Install 'seededlda' in R:
install.packages('seededlda', repos = c('https://koheiw.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/koheiw/seededlda/issues

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

semi-supervised-learningtext-classification

7.24 score 73 stars 1 packages 160 scripts 910 downloads 9 exports 44 dependencies

Last updated 2 months agofrom:161e996725. Checks:OK: 3 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-win-x86_64OKNov 04 2024
R-4.5-linux-x86_64OKNov 04 2024
R-4.4-win-x86_64NOTENov 04 2024
R-4.4-mac-x86_64NOTENov 04 2024
R-4.4-mac-aarch64NOTENov 04 2024
R-4.3-win-x86_64NOTENov 04 2024
R-4.3-mac-x86_64NOTENov 04 2024
R-4.3-mac-aarch64NOTENov 04 2024

Exports:divergenceinfo_tbbperplexitysizestermstextmodel_ldatextmodel_seededldatextmodel_seqldatopics

Dependencies:briocallrclicrayondescdiffobjdigestevaluatefansifastmatchfsglueISOcodesjsonlitelatticelifecyclemagrittrMatrixpillarpkgbuildpkgconfigpkgloadpraiseprocessxproxyCpsquantedaR6RcppRcppArmadillorematch2rlangrprojrootSnowballCstopwordsstringitestthattibbleutf8vctrswaldowithrxml2yaml