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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Compétences que vous acquerrez
Université de l'Illinois à Urbana-Champaign
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- 5 stars67,68 %
- 4 stars20,66 %
- 3 stars8 %
- 2 stars1,89 %
- 1 star1,74 %
Meilleurs avis pour EXPLOITATION DE TEXT ET ANALYTIQUE
Good course, but if combined with weekly assignments in python and R it would be even better than any other course.
This is a very good course. I think it provides a very good foundation of text mining and analytics like PLSA and LDA. More advanced research discussed in the last lecture is also very interesting.
Very difficult, especially when it comes to logic and using math equations. You'll have a lot to learn from this course.
This course teaches you the very nitty-gritty details of text mining. It has been an enriching experience for me in this course.
À propos du Spécialisation Exploration de données
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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