DO
5.0Reviewed Dec 3, 2022
Prof. Zhai's textbook is well-worth the added investment. His Coursera lectures helped me to "read between the lines."
Text Mining and Analytics
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. Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications.
Status: Model Optimization
Status: Data-Driven Decision-Making
Course33 hours
Featured reviews
MR
5.0Reviewed Jul 22, 2017
The workflow is clear and the professor speaks to the students directly about all aspects without skimming the material.
LV
5.0Reviewed Jul 26, 2020
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.
YZ
5.0Reviewed Oct 27, 2020
A very good course that perfectly articulates the underlying mathematical principles for all perspectives of text mining.
GP
5.0Reviewed Nov 1, 2017
Outstanding mix of theory and practical applications to help understand the theory. Well organized and excellent presentations. Thank you!
SG
4.0Reviewed Feb 24, 2017
Very good course thank you I wish we could have use case applications with high level tools such as RThanks a lot again !
YL
5.0Reviewed Apr 10, 2019
The course was very challenging and i learn a lot of new things from the course, this will help to complete my project.
AC
4.0Reviewed Feb 11, 2017
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.
AJ
5.0Reviewed Jul 14, 2019
This course teaches you the very nitty-gritty details of text mining. It has been an enriching experience for me in this course.
AA
4.0Reviewed Apr 18, 2017
The content is really good but the course has too much theory. Mixing it with some practical programming assignments would have been very nice
DC
5.0Reviewed Mar 24, 2018
The content of Text Mining and Analytics is very comprehensive and deep. More practise about how formula works would be better. Quiz could be not tough to be completed after attending every lectures.
CN
5.0Reviewed Sep 11, 2017
Good course, but if combined with weekly assignments in python and R it would be even better than any other course.