As in the work of E. <cite>Tong et al. (2017)</cite> , we pre-train word embeddings using a skip-gram model (Mikolov et al., 2013b) applied to unlabeled data from escort ads, however, we go further by analyzing the emojis' embeddings and thereby expand the trafficking lexicon.