The course could be much better if somebody would read through the discussion comments and make appropriate changes to the wording in lab assignments.
I would not have completed the lab assignments without reading through several of the course discussion comments. Many of these comments have been there for years, yet no improvement to the course material.
Ratings and Reviews for Applied Text Mining in Python
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Reviews and Ratings
Reviews
Very basic, but clear - just lacks the depth i was expecting
Really enjoyed the course! Thank you for the great lectures and assignments!
Take this course only as part of the specialization. It has good introduction to NLTK but tends to jump to advanced concepts without much teaching. If you are new to the topic you may struggle. If you are not familiar with the concepts in course 3 of the specialization you may not know what is expected of you.
Horrible!
Good Course, the only problem was in week 3 the sklearn method roc_curve() is used incorrectly and then in the assignment you need to use this method incorrectly again.
I like this course the best among all courses in this specification.
Thanks
Content is very well managed , self explanatory and relevant.
It gets you started in text mining
