# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PsychWordVec" in publications use:' type: software license: GPL-3.0-only title: 'PsychWordVec: Word Embedding Research Framework for Psychological Science' version: '2023.9' doi: 10.32614/CRAN.package.PsychWordVec abstract: 'An integrative toolbox of word embedding research that provides: (1) a collection of ''pre-trained'' static word vectors in the ''.RData'' compressed format ; (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 and the Relative Norm Distance , with permutation test of significance; (4) a set of training methods to locally train (static) word vectors from text corpora, including ''Word2Vec'' , ''GloVe'' , and ''FastText'' ; (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'').' authors: - family-names: Bao given-names: Han-Wu-Shuang email: baohws@foxmail.com orcid: https://orcid.org/0000-0003-3043-710X repository: https://CRAN.R-project.org/package=PsychWordVec repository-code: https://github.com/psychbruce/PsychWordVec url: https://psychbruce.github.io/PsychWordVec/ date-released: '2023-09-27' contact: - family-names: Bao given-names: Han-Wu-Shuang email: baohws@foxmail.com orcid: https://orcid.org/0000-0003-3043-710X