Ratings and Reviews for Applied Text Mining in Python

autograder 经常 犯些低级错误， 导致很多人在对付 autograder 上 花了很多时间。 请授课方务必改正， 否则 有不负责任之嫌。另外 编程作业的 说明委实不清不楚， 模棱两可。除此之外内容还算中规中矩， 虽然我个人 认为太表浅了一些。 Autograder is so buggy, that people have to spend lots of time to figure out, what the solution is. Additionally, the Instuction of python assignment is often ambiguous. Please fix them ASAP. Personally I find that the content is somehow like an introduction. I had hoped something more about detail.

I enjoyed the course and have found the topics very interesting. One criticism is that the general quality of notebooks provided with example codes wasn't as high as for other courses in the specialization.However the lecturer was really nice and gave very good explanations even for complicated concepts.

Very lovely informative course

Good!!

Great course

Nice introduction to the topic and interesting tools. The evaluation system could be improved adding more resources focused on the use of the nltk functions or giving some advice about the critical points in the Python demonstrations.

Learned lots of new stuff, but some details are not established well including autograder issue at the last assignment. Hope this gets cleared out soon.

Overall, a solid course, though it felt a bit like a face-to-face lecture course recorded to video. The material was helpful and well-explained, but I feel it could benefit from taking advantage of the MOOC medium more effectively, such as by providing code sample notebooks for the students to run and modify, which have been very helpful to me in understanding the material in other courses in the same specialization.

I like the lecture very much. If the lecture can cover more example codes it iwll be greater.

Course is introductory and helpful. The staff should provide all the jupyter notebook code examples and provide better instruction for assignments.