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.
イリノイ大学アーバナ・シャンペーン校（University of Illinois at Urbana-Champaign）
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 stars67.78%
- 4 stars20.55%
- 3 stars8.01%
- 2 stars1.89%
- 1 star1.74%
TEXT MINING AND ANALYTICS からの人気レビュー
A very good course that perfectly articulates the underlying mathematical principles for all perspectives of text mining.
Very difficult, especially when it comes to logic and using math equations. You'll have a lot to learn from this course.
Outstanding mix of theory and practical applications to help understand the theory. Well organized and excellent presentations. Thank you!
Very good course thank you I wish we could have use case applications with high level tools such as R\n\nThanks a lot again !
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.