PsychWordVec

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' doi:10.48550/arXiv.1301.3781, 'GloVe' doi:10.3115/v1/D14-1162, and 'FastText' doi:10.48550/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').

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