Package: PsychWordVec
Title: Word Embedding Research Framework for Psychological Science
Version: 0.3.0
Date: 2022-12-15
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 toolbox of word embedding research that provides:
  (1) a collection of 'pre-trained' static word vectors in the '.RData'
  compressed format <https://psychbruce.github.io/WordVector_RData.pdf>;
  (2) a series 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>,
  with permutation test of significance;
  (4) a set of training methods to locally train (static) word vectors
  from text corpora, including 'Word2Vec' <arXiv:1301.3781>,
  'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <arXiv:1607.04606>;
  (5) a group of functions to download 'pre-trained' language models
  (e.g., 'GPT', 'BERT'), extract contextualized (dynamic) word vectors
  (based on the R package 'text'), and perform language analysis tasks
  (e.g., fill in the blank masks).
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, purrr, vroom, cli,
        ggplot2, ggrepel, corrplot, psych, Rtsne, rgl, qgraph, rsparse,
        text2vec, word2vec, fastTextR, text, reticulate
Suggests: wordsalad, sweater
RoxygenNote: 7.2.2
NeedsCompilation: no
Packaged: 2022-12-15 21:12:08 UTC; Bruce
Repository: CRAN
Date/Publication: 2022-12-15 21:30:02 UTC
