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
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About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Data Clustering Algorithms
- Text Mining
- Probabilistic Models
- Sentiment Analysis
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSyllabus - What you will learn from this course
Orientation
Week 1
Week 2
Week 3
Week 4
Reviews
- 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

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