Ratings and Reviews for Applied Text Mining in Python

I was disappointed by the lectures in this course. My impression is that extremely complex concepts are mentioned in passsing and poorly explained, while a large amount of time is spent on trivial examples. The programming assignments are more interesting and appropriately challenging (compared to other courses in the specialization), but leave me without any confidence that I could accomplish a text mining task in python independently.

Excellent material

The videos are very good, the teacher is clear and concepts are explained well. The assignment are frustrating because of the misunderstanding that could arise due to the nature of the assigments themselves. Exercise are not explained well. Overall it is a good course, I would do it again.

Really Nice and very helpful course..................

Hard course, good concepts but needs more visualization of the concepts

Very useful course to text mining.

The course Assignments could be more clear and consistent with what is actually taught in the class. A good example is when n-grams were required to calculate the similarities, but have actually not been introduced in the video yet. Also, an expected answers would be nice for the assignments. Other than that, it was a nice introduction to NLP in Python.

wk1-wk3 are good. w4 is a little weak to build the connection between texting mining and coding. Moreover, it will be more straightforward if the lecturer teaches more about the procedure to deal with text mining. I just passed this course but don't master text mining technique through it. It is still a good introduction to texting mining, a very beginning of it. My suggestion is that wk4 should be reconstructed to make people really believe they can use what they learn in this course after they pass the assignments. Finally, thanks the lecturers for introduction. Especially thanks all students who contribute a lot in forum. Without them, I cannot pass the assignments.

liked the course material, well presented and Assignments are well framed. Enjoyed the Course very much!

Great material with practical applications! I utilized a lot from this course in my work! I think the assignments should be made a little bit more clearer, specially the first one. Took a lot of time to do the first one, due to some exceptions that were not mentioned in the exercise, at least one should mention that there might be cases other than specified here. Overall a great course! Thanks!