{ "_id": "6a227a54cd65a98ecbd4cbf4", "Package": "PsychWordVec", "Title": "Word Embedding Research Framework for Psychological Science", "Version": "2025.11", "Date": "2025-11-30", "Authors@R": "c(person(given = \"Han Wu Shuang\",\nfamily = \"Bao\",\nrole = c(\"aut\", \"cre\"),\nemail = \"baohws@foxmail.com\",\ncomment = c(ORCID = \"0000-0003-3043-710X\")))", "Maintainer": "Han Wu Shuang Bao ", "Description": "An integrative toolbox of word embedding research that\nprovides: (1) a collection of 'pre-trained' static word vectors\nin the '.RData' compressed format\n; (2) a\ngroup of functions to process, analyze, and visualize word\nvectors; (3) a range of tests to examine conceptual\nassociations, including the Word Embedding Association Test\n and the Relative Norm Distance\n, with permutation test of\nsignificance; and (4) a set of training methods to locally\ntrain (static) word vectors from text corpora, including\n'Word2Vec' , 'GloVe'\n, and 'FastText'\n.", "License": "GPL-3", 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