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.

Learning Objectives

• Understand and explain the fundamental approaches to text mining
• Understand and apply current methods for analyzing texts
• Understand how text is handled, manipulated, preprocessed and cleaned
• Define a text mining pipeline given a practical data science problem
• Implement generic text mining tools such as regular expression, text clustering, text classification, sentiment analysis, and word embedding
• At the end of the course, participants will master text mining skills with R.

Software: R