Detecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings

We introduce novel applications of the word embedding association test (WEAT) – a method for assessing differential biases and attitudes in word embeddings – for identifying correlations of human attitudes and behaviors with word embedding associations, and for automatically detecting words associated with a concept. We assess our methods by measuring the evolution of associations related to COVID...