Very very long videos. Makes a person zone out. The videos need to be smaller in length as they become very hard to complete. However, the content is good and easy to understand.

Videos are too long and the lectures sometimes go too fast and shallow to grip on information for the assingments, though those can be very manageble consulting stackoverflow

The previous three courses has really made my expectation quite high. This course was fine, however a more details of programming examples and tutorials were needed.

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.

Some good stuff here, but really drops in quality toward the end and became a real slog to finish. Shame, since the rest of the specialization has been outstanding.

assignments are ok although with some unclear issues. however, i think the last week tutorials can be richer and more informational. i love the week1-3 tutorials.

Overall good material. Not enough actual code examples at times, especially towards the end. The assignments weren't completely relevant and slightly buggy.

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

Some of the assignment problems, especially assignment 2 and 4, did not have clear instructions and hence were confusing. Otherwise, a good course.

The course materials were interesting, but there were also a lot of issues with the autograder. Hopefully they will be fixed for the next sessions.

I learned some useful stuff in this course but I think it could be a little more deeper and teaching more behind theorems especially for week 4.

Good Lectures. But much to less introduction by real examples. Especially in the last lecture you need to add a Notebook. As guidency and recap.

The subject is too vast to be covered in such small videos. Lot more details can be integrated. Great start for beginners to Text Mining though

Some helpful example projects, but the autograders do not work and its really difficult to pass the assignments because of the finicky system

Some of the topics where elaborated very briefly. There was not enough practical examples and instructor was no clear in what he was saying.

I liked the course, but it felt as a very raw overview, I think it could have been more challenging when it comes to the models explained.

The course assignments were somewhat difficult and also there should be more explanation of topics that were covered in this course.

Really poor instructions on week 4. Overall, was a great course that was a good intro to the text machine learning tools in Python.

I don't think the lecture is very clear. Although I have finished the homework, I still feel a little confused about the concepts.

Overall the course was not bad, but the week 4 topics were strange and the 1st assignment was harder than those on 2nd-3rd weeks

Bad assignment. Grader not reliable. No control over the discussion board, many confusing comments mixed with good comments.

Lectures are good but the assignment of week1 and week 4 is a little bit absurd and unclarified. Autograder is too slow.

The explanations weren't the best and pacing wasn't amazing, but some good ground covered and parts were interesting.

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

The effort that went into teaching the content seemed much less than the previous courses in this specialization