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This tutorial demonstrates how to conduct text analysis using Displayr to save time. A dataset on people's dislikes about Tom Cruise is used for the demonstration. The text analysis involves creating word clouds to visualize common themes, such as religious beliefs being a prominent issue. Displayr offers various analysis tools, including sentiment analysis and manual or automated categorization. The tutorial focuses on semi-automatic categorization based on sorting data by similarity to the word "religion."