Package: wordvector 0.2.0

wordvector: Word and Document Vector Models

Create dense vector representation of words and documents using 'quanteda'. Currently implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.

Authors:Kohei Watanabe [aut, cre, cph], Jan Wijffels [aut], BNOSAC [cph], Max Fomichev [ctb, cph]

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NEWS

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

Peer review:

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

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

cpp

4.26 score 2 stars 13 scripts 284 downloads 6 exports 23 dependencies

Last updated 24 days agofrom:f4057d655f. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 09 2025
R-4.5-win-x86_64OKJan 09 2025
R-4.5-linux-x86_64OKJan 09 2025
R-4.4-win-x86_64NOTEJan 09 2025
R-4.4-mac-x86_64NOTEJan 09 2025
R-4.4-mac-aarch64NOTEJan 09 2025
R-4.3-win-x86_64NOTEJan 09 2025
R-4.3-mac-x86_64NOTEJan 09 2025
R-4.3-mac-aarch64NOTEJan 09 2025

Exports:analogysimilaritytextmodel_doc2vectextmodel_lsatextmodel_word2vecweights

Dependencies:clifastmatchglueirlbaISOcodesjsonlitelatticelifecyclemagrittrMatrixproxyCquantedaRcppRcppArmadilloRcppEigenrlangRSpectrarsvdSnowballCstopwordsstringixml2yaml