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In this tutorial, the presenter demonstrates how to perform text analysis using Displayr, saving time for the viewer. A dataset on people's dislikes about Tom Cruise is used for analysis. The most common sentiment expressed is nothing, but with interactive word clouds, related terms can be grouped together. Displayr allows for various analysis methods, including word clouds, sentiment analysis, manual categorization, and fully automated categorization. The focus is on semi-automatic categorization, with an emphasis on sorting data based on similarity to the word religion.