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.
This course is part of the Data Mining Specialization
About this Course
Skills you will gain
- Information Retrieval (IR)
- Document Retrieval
- Machine Learning
- Recommender Systems
Syllabus - What you will learn from this course
- 5 stars65.76%
- 4 stars23.89%
- 3 stars6.67%
- 2 stars1.61%
- 1 star2.04%
TOP REVIEWS FROM TEXT RETRIEVAL AND SEARCH ENGINES
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)
Course was well taught the instructor's explanation of the topics was very comprehensive. Overall satisfied with the experience
I found that there were a lot of mathematical function in this course. I need to see the examples of how are those functions applied in the real programming which support the business.
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.
About the Data Mining Specialization
Frequently Asked Questions
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