Package: wordvector 0.6.5

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_0.6.5.tar.gz
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wordvector_0.6.5.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://koheiw.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

6.29 score 16 stars 1 packages 63 scripts 502 downloads 14 exports 22 dependencies

Last updated from:8121b1d72e. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK150
linux-devel-x86_64OK195
source / vignettesOK203
linux-release-arm64OK140
linux-release-x86_64OK144
macos-release-arm64OK184
macos-release-x86_64OK390
macos-oldrel-arm64OK137
macos-oldrel-x86_64OK394
windows-devel-arm64OK266
windows-devel-x86_64OK203
windows-release-arm64OK262
windows-release-x86_64OK167
windows-oldrel-x86_64OK155
wasm-releaseOK115

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