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Learner Reviews & Feedback for Text Mining and Analytics by University of Illinois at Urbana-Champaign

4.5
stars
624 ratings
137 reviews

About the Course

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....

Top reviews

JH
Feb 9, 2017

Excellent course, the pipeline they propose to help you understand text mining is quite helpful. It has an important introduction to the most key concepts and techniques for text mining and analytics.

DC
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.

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101 - 125 of 136 Reviews for Text Mining and Analytics

By Cihan T

Nov 5, 2020

Nice course for the people who want to acquire knowledge about mostly the theoretical part of certain NLP methods.

By Darren

Aug 23, 2017

Hope the speaker can slow down sometimes.

It will be more helpful if give more real-world examples

By Hernan V

Sep 29, 2017

Excellent course, but not a deep coverage of more complex text analysis algorithms

By Siwei Y

Mar 27, 2017

老师选择的课题非常丰富 , 讲解的逻辑脉络也非常清晰, 这是许多所谓的大牛教授所无法做到的 。

只是不知道为何, 论坛太过冷清, 里面似乎也没什么 人负责解答问题。

By Ryan L

Jul 27, 2018

Lots of great topics are covered. Would like to see more hands on exercises.

By Shubhra V

Jul 21, 2020

Very detailed course. Helps in gaining complete understanding of text mining

By Kim C

Jul 23, 2017

Full of intuitions about text mining. Hope I can absorb all those ideas soon

By Tanan K

Aug 12, 2017

Very complicated but useful for a deeper understanding of text mining

By Jan-Henk P

Jun 6, 2020

More examples/questions during the course in using the formulas

By Shaima M S

Jul 27, 2016

Very detailed, but taught in an easily understandable manner.

By Rahul M

Feb 7, 2018

ok ish course. Not highly recommended, but seems fine

By Rohit C

Apr 8, 2020

Text Material is good and much more informative.

By Norvin C

Oct 10, 2017

Generally quite clear explanations

By Amir Z

Sep 1, 2016

Good survey of techniques

By Savindu V K

Jul 27, 2020

Really good course.

By To P H

May 6, 2019

Very dense content

By Guillermo C F

Oct 16, 2017

Very good course!!

By Hyun J L

Nov 29, 2017

Was Quite Helpful

By Rahila T

Nov 15, 2018

Good

By Martin B

Sep 26, 2020

This course is a mixed bag. The instructor is precise and to the point. It covers quite a few techniques that are usually not covered in other machine learning courses and offers good suggestions for additional reading to get into specific technical details. There are however two main drawbacks. First: there is only a single optional programming assigment in C++. Learning materials like these is often more thorough with programming assignments attached to them, which is the case in all of the best courses in the field of Machine Learning or Data Science. Second: the instructor's English is not great. This makes the course difficult to follow sometimes, especially since the automatically generated subtitles tend to be VERY bad and occasionally misleading.

By Alexandr S

Jul 11, 2019

The Professor has a difficulty with English pronunciation, so sometimes it is very hard to understand his speech.

By Kaniska M

Sep 5, 2016

The coding assignment instructions are near impossible to follow. The lecture is monotonous in the later weeks.

By Gnaneshwar G

Feb 10, 2018

Its was alright. The author must try different approach or explain a bit more about the mathematical equations

By Tali L

Mar 22, 2020

Awesome content. However, the lectures were slow and many were longer than I thought they needed to be.

By Ankur B

May 8, 2019

Little outdated but still clears the basics. More theoretical and less programming based