This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort.
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The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
- 5 stars67.73%
- 4 stars20.63%
- 3 stars7.99%
- 2 stars1.88%
- 1 star1.74%
TEXT MINING AND ANALYTICS의 최상위 리뷰
It is rare to find an online course that explains the statistics and intuition behind text mining and machine learning algorithm!
My favorite course and my favorite instructor. Highly informative. I wish i want to be a real student of the instructor.
Well taught course, would have preferred if went further into topics like opinion mining (even if we had optional lectures or assignments). However, definitely a fun course to learn a lot.
Outstanding mix of theory and practical applications to help understand the theory. Well organized and excellent presentations. Thank you!
데이터 마이닝 특화 과정 정보
The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.
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