Hands-on Text Mining and Analytics Free English (en)
Recruiting People1,000 people
Enrollment Period01-03-2022 ~ 02-28-2023
Learning period01-03-2022 ~ 02-28-2023
Approval MethodAutomatic Approval
This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists.
Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.
- Professor Min Song, Underwood Distinguished Professor in the Department of Library and Information Science at Yonsei University
- Contact ICTL(email@example.com) for related inquiries
교수학습혁신센터에서 제작한 Global MOOC(Coursera) 강좌입니다.