PsychWordVec: Word Embedding Research Framework for Psychological Science
Han‐Wu‐Shuang Bao · 2022
An integrative toolbox of word embedding research that provides: (1) a collection of 'pre-trained' static word vectors in the '.RData' compressed format ; (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 and the Relative Norm Distance , with permutation test of significance; and (4) a set of training methods to locally train (static) word vectors from text corpora, including 'Word2Vec' , 'GloVe' , and 'FastText' .