Applications of text mining are everywhere: social media, web search, advertising, emails, customer service, healthcare, marketing, etc. In this course, students will learn how to apply text mining methods on text data and analyse them in a pipeline with statistical learning algorithms. The course has a strongly practical hands-on focus, and students will gain experience in using and interpreting text mining on data examples from humanities, social sciences, and healthcare.
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Process mining is a data analytics technique to discover, evaluate or enhance business processes by analysing the data traces left behind during the execution of these processes. It provides insights based on the data captured in the process-supporting IT systems. In contrast to other data analytic mechanisms, process mining analyses process flow, i.e. the sequence of steps taken by various actors to execute a particular task. The insights gained by process mining can be used for conformance checking or process improvement.