Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) , Doc2vec (Le & Mikolov, 2014) and Latent Semantic Analysis (Deerwester et al., 1990) .
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0.6.4 by Kohei Watanabe, a month ago
https://github.com/koheiw/wordvector, https://koheiw.github.io/wordvector/
Browse source code at https://github.com/cran/wordvector
Authors: Kohei Watanabe [aut, cre, cph] (ORCID: , Jan Wijffels [aut] (Original R code) , BNOSAC [cph] (Original R code) , Max Fomichev [ctb, cph] (Original C++ code)
Documentation: PDF Manual
Apache License (>= 2.0) license
Imports quanteda, methods, stringi, Matrix, proxyC, RSpectra, irlba, rsvd
Suggests testthat, word2vec, spelling, rmarkdown, knitr
Linking to Rcpp, quanteda
Imported by GMTM.
Suggested by LSX.
See at CRAN