This course will be offered over three afternoons (2/6, 2/8, and 2/10), 2.5 hours per afternoon, via Zoom. Attendance is required as the course will not be recorded.
Course Summary:
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.
Instructor: Ted Kwartler
Ted Kwartler is the Field CTO at DataRobot. Ted sets product strategy for explainable and ethical uses of data technology. Ted brings unique insights and experience utilizing data, business acumen and ethics to his current and previous positions at Liberty Mutual Insurance and Amazon. In addition to having 4 DataCamp courses, he teaches graduate courses at the Harvard Extension School and is the author of “Text Mining in Practice with R.” Ted is an advisor to the US Government Bureau of Economic Affairs, sitting on a Congressionally mandated committee called the “Advisory Committee for Data for Evidence Building” advocating for data-driven policies.