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In this tutorial, the process of text analysis using Displayr is demonstrated to save time. The example data set consists of people's dislikes about Tom Cruise, with the analysis conducted through word clouds. The most common theme found is "nothing," but related terms can be grouped to reveal more specific insights, such as comments about his religious beliefs. Displayr offers various text analysis tools like sentiment analysis and manual or automated categorization, with a focus here on semi-automatic categorization based on the key issue of religion in the data set.