Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text.
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Habilidades que obtendrás
Universidad de Illinois en 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 stars65,57 %
- 4 stars23,93 %
- 3 stars6,77 %
- 2 stars1,63 %
- 1 star2,07 %
Principales reseñas sobre TEXT RETRIEVAL AND SEARCH ENGINES
Great introductory course. It has opened my eyes to new challenges that face information retrieval. DON"T TAKE THIS COURSE IF YOU WANT TO LEARN elasticsearch.
This course is complemented with a software and text (not mandatory) and good explanation with diagrams...
The explanation is detailed and clear. But the missing star is because I hoped the course would have programming assignments using popular language as python.
A great overview of text retrieval methods. Good coverage of search engines. A longer course will cover search engine better (remember this is a 6 weeker)
Acerca de Programa especializado: minería de datos
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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