Course Description: 

In recent years, there has been growing interest in data visualization for linguistic analysis. Recent achievements in corpus linguistics have introduced state-of-the-art methods and tools for  text-processing. Similarly, the progress in digital technology has created novel ways of data visualization and data interpretation. The combination of corpus linguistic methods and visual tools make it possible to observe patterns otherwise hidden from a researcher using traditional methods.  In this course we introduce fundamentals of visual analytics for linguistic research. We will discuss  visualization approaches and existing tools, as well as their application to  linguistic data. Exploring various types of data (e.g. collection of documents, structured or semi-structured data), we will show how the goals of the study and data format help determine the choice of visual methods.  Finally, we will learn  common visual methods with R programming language using interactive Shiny application.

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Prerequisites: None