Natural Language Processing (NLP) is the art and science of extracting insights from large amounts of text. The course topics will help students add NLP methods to their research, and data science toolset. As a technical course with some machine learning elements, limited exposure to programming, and graduate-level statistics is needed but the vast majority of the course content will be focused on applications and examples. Students will learn how to implement a variety of popular text mining methods in R (a free and open-source software) to organize, and process text aimed at identifying insights, extracting frequent terms and assessing sentiment analysis.