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.
About this Course
Skills you will gain
- 5 stars65.69%
- 4 stars23.94%
- 3 stars6.68%
- 2 stars1.61%
- 1 star2.04%
TOP REVIEWS FROM TEXT RETRIEVAL AND SEARCH ENGINES
Need indetail inputs on algorithm usage and correct MeTA assignments with working scripts. That makes learning a complete curve.
I will keep the last star for not using a more cutting edge programming language, e.g. python. MeTa is not really helpful in the business world and that discounts the value of this course.
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)
A bit difficult to complete as the Quiz questions were tougher. But when you go through all, you might feel good.
About the Data Mining Specialization
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