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Ratings and Reviews for Applied Text Mining in Python

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Reviews and Ratings

4.2

3,349 Ratings from Coursera

Reviews

I am an experienced online course learner, both with MOOC's and online courses through accredited universities. Unfortunately, in it's current form, this has been one of the worst classes I have ever taken. While it does have some interesting content, the delivery is sometimes wandering and more of a high level overview than a concrete, here's-how-you-do-it, practical class. The assignments also suffer from ambiguity and sometimes outright forgetting of explicit instructions. Moreover, workbook-type examples are often lacking. Although I'm very disappointed in the execution of this class, there is potential if these problems are addressed. As an aside, after completing this class, I find it hard to believe that almost half the reviewers gave this class five stars. There are some fundamental problems here, and I almost gave up completing the rest of the series because of this one course. .
Great course! I learned the basic concepts and skills of text mining.
Some assignments were very ambigues - namely part One of final assignment.
Overall a good course and a nice introduction to Text Mining but issues with the autograder and some unclear instructions can make the assignments a little painful.
Well taught the text mining classes. Hope to use them in real time problems. Thanx professor !!!
I found this course quite confusing and often unrelated between video lectures and assignments. The lectures maybe covered an assignment in broad strokes but to actually answer any of the questions needed extension research from the student. I felt like I was teaching myself the base content. At that point, what is the point of the lecture videos if they provide no value. I almost stopped my subscription and gave up on the data analysis specialization based on the quality of this specific course. Previous courses in the specialisation did provide useful information in lectures which was then extended upon in the assignments. This method of teaching something in the lectures then building on finessed usage in the assignments is a much better approached.
Great intro to the essentials of NLP and good exams/assignments with right levels of instructions and guidance.
I was under the impression that the course is incomplete, especially week 4, which has no notebook examples of the theory presented. I needed to look at other sites for basic information. I could only complete the exercises because they are easy, otherwise, with the code presented during the course, I would not have been able to. I suggest strengthening the example code in python (see week 3, good code)
Overall good material. Not enough actual code examples at times, especially towards the end. The assignments weren't completely relevant and slightly buggy.
I really enjoyed this course, as well as how the instructor presented it. Overall very smooth and informative

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