Package: wordvector 0.6.6

Kohei Watanabe

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_0.6.6.tar.gz
wordvector_0.6.6.zip(r-4.7-x86_64)wordvector_0.6.6.zip(r-4.7-arm64)wordvector_0.6.6.zip(r-4.6-x86_64)wordvector_0.6.6.zip(r-4.6-arm64)
wordvector_0.6.6.tar.gz(r-4.7-arm64)wordvector_0.6.6.tar.gz(r-4.7-x86_64)wordvector_0.6.6.tar.gz(r-4.6-arm64)wordvector_0.6.6.tar.gz(r-4.6-x86_64)
wordvector_0.6.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
wordvector/json (API)

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

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

Pkgdown/docs site:https://koheiw.github.io

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

On CRAN:

Conda:

cpp

3.15 score 1 packages 68 scripts 610 downloads 14 exports 22 dependencies

Last updated from:fa3223da43. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK148
linux-devel-x86_64OK178
source / vignettesOK238
linux-release-arm64OK145
linux-release-x86_64OK204
windows-devel-arm64OK260
windows-devel-x86_64OK197
windows-release-arm64OK255
windows-release-x86_64OK178
wasm-releaseOK116

Exports:analogyas.textmodel_doc2vecas.textmodel_word2veccheck_doc2veccheck_modelcheck_word2vecis_doc2vecis_word2vecperplexityprobabilitysimilaritytextmodel_doc2vectextmodel_lsatextmodel_word2vec

Dependencies:clifastmatchirlbaISOcodesjsonlitelatticelifecyclemagrittrMatrixproxyCquantedaRcppRcppArmadilloRcppEigenrlangRSpectrarsvdSnowballCstopwordsstringixml2yaml

Readme and manuals

Help Manual

Help pageTopics
Convert formula to named character vectoranalogy
Extract word or document vectorsas.matrix.textmodel_doc2vec as.matrix.textmodel_word2vec
Create a doc2vec modelas.textmodel_doc2vec
Create a word2vec modelas.textmodel_word2vec
Yahoo News summaries from 2014data_corpus_news2014
Generic function to extract probabilitiesprobability
Compute probability of wordsprobability.textmodel_wordvector
Generic function to extract similaritiessimilarity
Compute similarity between word or document vectorssimilarity.textmodel_wordvector
Doc2vec modeltextmodel_doc2vec
Latent Semantic Analysis modeltextmodel_lsa
Word2vec modeltextmodel_word2vec