We use raw texts scraped from Backpage and TNABoard to pre-train the word embeddings, and use the same labeled texts E. <cite>Tong et al. (2017)</cite> used to conduct model comparisons. The raw text dataset consists of 44,105 ads from TNABoard and 124,220 ads from Backpage.