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Text mining and text analysis with R In-Person

Text mining is a set of powerful methods to analyze a large number of texts. It allows us to uncover patterns, trends, and insights that would be impossible to detect through manual reading alone. In this course, you will learn how to:

Prepare texts for analysis
Identify themes and topics in the texts
Create visualizations to communicate your findings.

The dataset will consist of summaries from debates in the Danish parliament Folketinget, but the methods learning can be used to analyze any set of texts. We will focus on finding the top words that the various political parties use and identifying the different themes that they emphasize in the debates

You don't need to have any experience with text mining, but a basic familiarity with R is necessary, such as can be learned in our R for absolute beginners-courses

Date:: 24/03/2025
Time:: 10:00 - 12:00
Time Zone:: Central European Time (change)
Location:: KUB Datalab - Samf
Campus:: KUB City Campus, Gothersgade 140, 1123 København K
Categories:: Analysis Cleaning R Visualisation Datalab

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Søren Willer Hansen