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.
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.
By Cihan T•
Nice course for the people who want to acquire knowledge about mostly the theoretical part of certain NLP methods.
Hope the speaker can slow down sometimes.
It will be more helpful if give more real-world examples
By Hernan V•
Excellent course, but not a deep coverage of more complex text analysis algorithms
By Siwei Y•
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•
Lots of great topics are covered. Would like to see more hands on exercises.
By Shubhra V•
Very detailed course. Helps in gaining complete understanding of text mining
By Kim C•
Full of intuitions about text mining. Hope I can absorb all those ideas soon
By Tanan K•
Very complicated but useful for a deeper understanding of text mining
By Jan-Henk P•
More examples/questions during the course in using the formulas
By Shaima M S•
Very detailed, but taught in an easily understandable manner.
By Rahul M•
ok ish course. Not highly recommended, but seems fine
By Rohit C•
Text Material is good and much more informative.
By Norvin C•
Generally quite clear explanations
By Amir Z•
Good survey of techniques
By Savindu V K•
Really good course.
By To P H•
Very dense content
By Guillermo C F•
Very good course!!
By Hyun J L•
Was Quite Helpful
By Rahila T•
By Martin B•
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•
The Professor has a difficulty with English pronunciation, so sometimes it is very hard to understand his speech.
By Kaniska M•
The coding assignment instructions are near impossible to follow. The lecture is monotonous in the later weeks.
By Gnaneshwar G•
Its was alright. The author must try different approach or explain a bit more about the mathematical equations
By Tali L•
Awesome content. However, the lectures were slow and many were longer than I thought they needed to be.
By Ankur B•
Little outdated but still clears the basics. More theoretical and less programming based