Ratings and Reviews for Applied Text Mining in Python

Good course to start with NLP

The subject is interesting however the lectures are too shallow and the assignments too difficult. You should be expected to do more study after the lecture for sure but for this course, it was a lot.

An amazing course.I love how even the basics are covered and its transition to the difficult topics. An amazing explanation with a very right pace.

Nice experience..Thanks to Resp.Professor for clear the concepts so deeply and enhancing the knowledge in right path..Niceever and helpful course..Thanks to team & university..

Great course. Thank you!

This course was much less helpful than others in the Specialization. The assignments are poorly conceived, and submissions are beset by finicky autograder issues. Certainly, data cleaning and code debugging are critical skills for text mining, but I find it difficult to believe that "try to understand what output a function should submit so as to satisfy the current autograder" is a useful way to teach text mining. I hope this course will be re-done to bring it in line with the quality of the others in the Specialization.

Very exciting topic, but not so exciting course.

Great course!

Assignments were very well designed and tested the understanding thoroughly. The lessons were crisp and the instructor had put in a really great effort in designing the overall layout. Kudos to professor.

The most difficult one in this set of courses so far. It took time to understand the questions and figuring out solutions.