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 group 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; and (4) a set of training methods to locally train (static) word vectors from text corpora, including 'Word2Vec' <doi:10.48550/arXiv.1301.3781>, 'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <doi:10.48550/arXiv.1607.04606>.
Version: 2025.3 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 Suggests: text, wordsalad, sweater, glue Published: 2025-03-30 DOI: 10.32614/CRAN.package.PsychWordVec Author: Han-Wu-Shuang Bao [aut, cre] Maintainer: Han-Wu-Shuang Bao <baohws at foxmail.com> BugReports: https://github.com/psychbruce/PsychWordVec/issues License: GPL-3 URL: https://psychbruce.github.io/PsychWordVec/ NeedsCompilation: no Materials: README NEWS CRAN checks: PsychWordVec results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=PsychWordVec to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4