Ratings and Reviews for Applied Text Mining in Python

A bit lack of coherence in theory. Sometimes, the theory needed for the assignments was not given with enough detail, and you had to browse the forums for the information, and applying it to your assignment just to pass, sometimes without understanding why you were doing what you were doing. More Python examples needed. For week 3, the tutorial about recommender systems was perfect for the assignment.

I enjoyed this course, but some aspects of it felt "light touch", particularly week 4. That week would be greatly improved with a jupyter notebook and an applied demonstration by the absolutely awesome Teaching Assistant, Filip Jankovic. Whenever he does a demonstration, it's clear, concise, practical, and always helpful. Let's see more of him!

The video is still in python 2. Very limited instructions.

The course itself is good, but the assigment system is not robust and some sentences are also ambiguous to users. Seeing from the forums, many users get confused in the assigments.

so great!!!

The course is pitched at a introductory level. I would have like to have more practical tutorials.

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

Less organised to the previous three courses. However, it still introduces useful techniques.

I will be better to provide python code in a separate notebook

Great course! I have been doing some text mining in another tool, and I learned some useful things that I was able to put to use almost immediately ... now that I have the data science part in hand, I just need to figure out some Python details in order to format my output for my client.