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 tools:::Rd_expr_doi("10.1126/science.aal4230") and the Relative Norm Distance tools:::Rd_expr_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' tools:::Rd_expr_doi("10.48550/arXiv.1301.3781"), 'GloVe' tools:::Rd_expr_doi("10.3115/v1/D14-1162"), and 'FastText' tools:::Rd_expr_doi("10.48550/arXiv.1607.04606").
Maintainer: Han Wu Shuang Bao baohws@foxmail.com (ORCID)
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