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.
Об этом курсе
Иллинойсский университет в Урбане-Шампейне
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 %
Лучшие отзывы о курсе АНАЛИЗ ТЕКСТОВОЙ ИНФОРМАЦИИ И АНАЛИТИКА
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.
very theoretical. very insightful too. finally got a glimpse how the features that I took for granted took shape ... thanks to the instructor, I love the textbook as well ~
The content was very useful, and the preparation of the course denoted much care and preparation by the teacher. I would love to see some modern topics like word embeddings covered in the course!
Специализация Интеллектуальный анализ данных : общие сведения
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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