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This tutorial demonstrates how to conduct text analysis using Displayr, which can save a significant amount of time. The presenter shares a dataset where people expressed their dislikes about Tom Cruise, leading to the conclusion that religious beliefs were a common topic. Displayr allows for various analysis methods, such as word clouds, sentiment analysis, manual categorization, and semi-automatic categorization based on keyword similarity, like religion in the case of Tom Cruise data.
