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.
This course is part of the Data Mining Specialization
About this Course
Skills you will gain
- Data Clustering Algorithms
- Text Mining
- Probabilistic Models
- Sentiment Analysis
Syllabus - What you will learn from this course
- 5 stars68.14%
- 4 stars20.42%
- 3 stars7.85%
- 2 stars1.85%
- 1 star1.71%
TOP REVIEWS FROM TEXT MINING AND ANALYTICS
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 good course thank you
I wish we could have use case applications with high level tools such as R
Thanks a lot again !
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.
A very good course that perfectly articulates the underlying mathematical principles for all perspectives of text mining.
About the Data Mining Specialization
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