Introduction to Natural Language Processing with R (online)
February 6 @ 12:00 pm - 2:30 pm
An event every 2 days that begins at 12:00 pm, repeating until February 10, 2023
This course will take place over three afternoons (2/6/23, 2/8/23, and 2/10/23), 2.5 hours per afternoon, and will be offered via Zoom. Attendance is required as the course will not be recorded.
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 VP, Trusted AI at DataRobot. At DataRobot, Ted sets product strategy for explainable and ethical uses of data technology in the company’s application. 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 committed called the “Advisory Committee for Data for Evidence Building” advocating for data-driven policies.
- UNC-CH Students: $0, with a $35 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $95
- Non UNC-CH: $145
Additional course information:
- Registration will close at 12:01am 2/3/2023. No late registrations will be accepted.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- Zoom link for this course will be sent prior to the course. Registrants will also receive an “Introduction to R” recording prior to the course from the instructor. Registration must be made at least 3 days in advance of the course to receive these links.
For questions regarding this class, please contact Jill Stevens at email@example.com