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.
About this Course
Skills you will gain
- 5 stars68.09%
- 4 stars20.45%
- 3 stars7.86%
- 2 stars1.85%
- 1 star1.71%
TOP REVIEWS FROM TEXT MINING AND ANALYTICS
Very good course thank you
I wish we could have use case applications with high level tools such as R
Thanks a lot again !
Prof. Zhai's textbook is well-worth the added investment. His Coursera lectures helped me to "read between the lines."
Well taught course, would have preferred if went further into topics like opinion mining (even if we had optional lectures or assignments). However, definitely a fun course to learn a lot.
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.
About the Data Mining Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.