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 stars68.14%
- 4 stars20.42%
- 3 stars7.85%
- 2 stars1.85%
- 1 star1.71%
TOP REVIEWS FROM TEXT MINING AND ANALYTICS
Prof. Zhai's textbook is well-worth the added investment. His Coursera lectures helped me to "read between the lines."
My favorite course and my favorite instructor. Highly informative. I wish i want to be a real student of the instructor.
Outstanding mix of theory and practical applications to help understand the theory. Well organized and excellent presentations. Thank you!
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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