Ratings and Reviews for Applied Text Mining in Python

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.

Short and concise introduction to text mining and natural language processing. The presentation of the instructor is very good. The course could be organized in a better way, more course material should be added. I like the assignments so much, they taught me a lot although I think there have some problem with the Grader. Overall it's a recommended course for a CS student.