The analysis includes 519,354 tweets from 11,721 unique users. The number of users increases from the initial number since we also took their retweets, quotes and post replies. The tweets were first subjected to a basic cleaning of the text (removing links, emoticons, hashtags, etc.), and then through the use of machine learning and natural language processing, we looked for the hidden (latent) topic of each post.