Package: PsychWordVec
Title: Word Embedding Research Framework for Psychological Science
Version: 0.1.0
Date: 2022-08-21
Authors@R: 
    c(person(given = "Han-Wu-Shuang",
             family = "Bao",
             role = c("aut", "cre"),
             email = "baohws@foxmail.com"))
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>
Description: 
  An integrated toolkit of word embedding research that provides:
  (1) a collection of 'pre-trained' word vectors in the '.RData'
  compressed format <https://psychbruce.github.io/WordVector_RData.pdf>;
  (2) a variety of functions to process, analyze, and visualize word vectors;
  (3) a range of tests to examine conceptual associations, including
  the Word Embedding Association Test <doi:10.1126/science.aal4230>
  and the Relative Norm Distance <doi:10.1073/pnas.1720347115>;
  (4) a set of training methods to locally train word vectors from
  text corpora, including 'Word2Vec' <arXiv:1301.3781>,
  'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <arXiv:1607.04606>.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://psychbruce.github.io/PsychWordVec/
BugReports: https://github.com/psychbruce/PsychWordVec/issues
Depends: R (>= 4.0.0)
Imports: bruceR, dplyr, stringr, data.table, vroom, ggplot2, ggrepel,
        Rtsne, rgl, rsparse, text2vec, word2vec, fastTextR
Suggests: wordsalad, sweater
RoxygenNote: 7.2.1
NeedsCompilation: no
Packaged: 2022-08-21 04:13:36 UTC; Bruce
Repository: CRAN
Date/Publication: 2022-08-22 15:20:02 UTC
