Ratings and Reviews for Applied Text Mining in Python

Seems sort of unupdated, lacking enough applications for the student to really get a grasp of the contents. Lectures should explain theory more thoroughly

Well prepared course and a good lecturer.

Disappointing compared to the other courses of this specialisation. Some concepts were not defined (i.e bag of words) for the assignment. A lot of errors in auto graders, assignments. I had the impression to have a list of concepts and functions without a real explanation.

I have to say that the previous three courses were very well explained, with good examples and python code. However, this course is not well explained nor documented. It is a pity that the quality of the whole specialization program gets considerably reduced due to this course. The assignments do not allow you to learn and you may not pass them due to small differences in the coding.

The content of the video and the assignment needs to be updated. Some of the questions in the assignment were not clear and autograder can be a pain. The topics are also not too coherent from weeks to weeks.

This is a very good course for introduction to NLP.

tired of auto grader,...and prof not interested

This is a good informative course, yet superficial at times. Specially when it comes to fourth weeks' assignments

Last week is not properly thought

worst course in the series by far.