Word Embedding Research Framework for Psychological Science
| Package name | Version | Title | Date | Size | License | |
|---|---|---|---|---|---|---|
| PsychWordVec | 2025.11 | Word Embedding Research Framework for Psychological Science | Sun Nov 30 2025 | 3712.22kB | GPL-3 | |
| PsychWordVec | 2025.8 | Word Embedding Research Framework for Psychological Science | Tue Aug 19 2025 | 3712.18kB | GPL-3 | |
| PsychWordVec | 2025.3 | Word Embedding Research Framework for Psychological Science | Sun Mar 30 2025 | 3712.76kB | GPL-3 | |
| PsychWordVec | 2023.9 | Word Embedding Research Framework for Psychological Science | Wed Sep 27 2023 | 3722.15kB | GPL-3 | |
| PsychWordVec | 2023.8 | Word Embedding Research Framework for Psychological Science | Tue Aug 08 2023 | 3721.81kB | GPL-3 | |
| PsychWordVec | 0.3.2 | Word Embedding Research Framework for Psychological Science | Sat Mar 04 2023 | 3721.27kB | GPL-3 | |
| PsychWordVec | 0.3.1 | Word Embedding Research Framework for Psychological Science | Fri Mar 03 2023 | 3721.28kB | GPL-3 | |
| PsychWordVec | 0.3.0 | Word Embedding Research Framework for Psychological Science | Thu Dec 15 2022 | 3721.12kB | GPL-3 | |
| PsychWordVec | 0.2.0 | Word Embedding Research Framework for Psychological Science | Thu Dec 01 2022 | 3714.02kB | GPL-3 | |
| PsychWordVec | 0.1.2 | Word Embedding Research Framework for Psychological Science | Thu Nov 03 2022 | 3668.52kB | GPL-3 | |
| PsychWordVec | 0.1.0 | Word Embedding Research Framework for Psychological Science | Mon Aug 22 2022 | 3664.47kB | GPL-3 |
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>.
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