DESCRIPTION

Package: PsychWordVec
Title: Word Embedding Research Framework for Psychological Science
Version: 2023.9
Date: 2023-09-27
Authors@R:
    c(person(given = "Han-Wu-Shuang",
             family = "Bao",
             role = c("aut", "cre"),
             email = "baohws@foxmail.com",
             comment = c(ORCID = "0000-0003-3043-710X")))
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>
Description:
    An integrative 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') and extract contextualized (dynamic) word vectors
    (based on the R package 'text').
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, glue
RoxygenNote: 7.2.3