This workflow uses AIS text mining tools to perform sentiment analysis and topic modelling on 2018 Twitter data from the FIFA World Cup. This workflow shows how to format text for sentiment analysis, use the outputs of the sentiment analysis tool to assign sentiment propensities, and then subset based on those propensities to better understand natural text data through their sentiment categories. This workflow also shows how to combine sentiment analysis with topic modelling and how to simplify the problem of discerning topic themes from the topics mapped using the topic modelling tool in AIS.