Package: wordvector 0.6.2

wordvector: Word and Document Vector Models

Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546>, Doc2vec (Le & Mikolov, 2014) <doi:10.48550/arXiv.1405.4053> 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]

wordvector_0.6.2.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
wordvector/json (API)
NEWS

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

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

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

On CRAN:

Conda:

cpp

5.52 score 15 stars 37 scripts 557 downloads 8 exports 22 dependencies

Last updated from:9500fd77b1. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK187
linux-devel-x86_64OK162
source / vignettesOK170
linux-release-arm64OK172
linux-release-x86_64OK191
macos-release-arm64OK174
macos-release-x86_64OK323
macos-oldrel-arm64OK168
macos-oldrel-x86_64OK353
windows-develOK192
windows-releaseOK152
windows-oldrelOK156
wasm-releaseOK120

Exports:analogyas.textmodel_doc2vecperplexityprobabilitysimilaritytextmodel_doc2vectextmodel_lsatextmodel_word2vec

Dependencies:clifastmatchirlbaISOcodesjsonlitelatticelifecyclemagrittrMatrixproxyCquantedaRcppRcppArmadilloRcppEigenrlangRSpectrarsvdSnowballCstopwordsstringixml2yaml