Feb 10, 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.
Mar 25, 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.
교육 기관: Gnaneshwar G•
Feb 10, 2018
Its was alright. The author must try different approach or explain a bit more about the mathematical equations
교육 기관: Tali L•
Mar 22, 2020
Awesome content. However, the lectures were slow and many were longer than I thought they needed to be.
교육 기관: Ankur B•
May 08, 2019
Little outdated but still clears the basics. More theoretical and less programming based
교육 기관: Manvendra S•
Sep 05, 2017
this course is useful if you take further courses too
교육 기관: Quintus L•
Nov 06, 2019
Great theoretical introduction, but not hands-on.
교육 기관: Alexander S•
Dec 16, 2019
Course was ok. Some slides have mistakes in it.
교육 기관: Michael T•
Sep 22, 2016
Forums were poorly organized and not well participated in.
There was no forum topic for the honors assignment.
Honors assignment appeared to require unix, which was not stated in the course requirements.
Honors assignment was due too early in the term.
교육 기관: Vivian Y Q•
Aug 11, 2017
it is really dry. Not hands on at all. Not everyone knows c, would appreciate more approachable hands on experience
교육 기관: Kartoffel•
Sep 09, 2016
Too much theory, not enough practical exercises and too few examples of how the algorithms work.
교육 기관: gayatri•
Dec 13, 2016
Could not understand many of the mathematical formulae involved. The topic coverage was good.
교육 기관: Eugenio L C•
Sep 22, 2017
While interesting, the videos are too long, and few practical
교육 기관: Shubham K•
Jun 10, 2019
Couldnt understand a word of what the instructor said