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.
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: Statistical Machine Learning
Status: Data-Driven Decision-Making
Course33 hours
Featured reviews
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.
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.
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 !
BI
5.0Reviewed Aug 26, 2016
Excellent Module! A most know & understand unit for all students of Data Science. Enjoyed every aspect of the learning .. Good teaching !!!
MB
5.0Reviewed Mar 11, 2022
Very difficult, especially when it comes to logic and using math equations. You'll have a lot to learn from this course.
JS
5.0Reviewed Jun 6, 2017
The content was very useful, and the preparation of the course denoted much care and preparation by the teacher. I would love to see some modern topics like word embeddings covered in the course!
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.
WP
4.0Reviewed Aug 22, 2017
Most of the lessons are mathematical formulae in which, in my opinion, I need more real case study/practice to make myself clearly understand on how do those formulae perform.
RC
5.0Reviewed Jun 24, 2017
very theoretical. very insightful too. finally got a glimpse how the features that I took for granted took shape ... thanks to the instructor, I love the textbook as well ~
R
5.0Reviewed Dec 27, 2020
Practical stuff were lacking in python rest the content was excellent. love the way the instructor taught the content
YZ
5.0Reviewed Oct 27, 2020
A very good course that perfectly articulates the underlying mathematical principles for all perspectives of text mining.