Word embeddings are representations of words in a vector space that models semantic relationships between words by means of distance and direction. In this study. we adapted two existing methods. word2vec and fastText. https://www.jmannino.com/great-save-Camiseta-Groves-de-corte-ajustado-con-ribete-de-algod-n-org-nico-Saxe-super-grab/