Predicting Consumer Brand Recall and Choice Using Large-Scale Text Corpora

Published in Association of Consumer Research, 2018

This paper aimed to use the word2vec models to see if we could predict which brands (Coke, Pepsi) people think of given a category (Soft Drinks). It turns out the dot product of the word2vec for the brand and category correlates with recall rate with a roughly power law relation.