PsychWordVec: Word Embedding Research Framework for Psychological Science
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>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
bruceR, dplyr, stringr, data.table, vroom, ggplot2, ggrepel, Rtsne, rgl, rsparse, text2vec, word2vec, fastTextR |
| Suggests: |
wordsalad, sweater |
| Published: |
2022-08-22 |
| 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:
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