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
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.
More programming assignments would have helped understanding the topics covered in the course better.
I have learned a lot of concepts through this course, but at a shallow level. It is a great introduction course to IR. It can be improved by adding more programming tasks for hands-on exercise
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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