Ratings and Reviews for Applied Text Mining in Python

A nice course overall but maybe not the best in the specilisation. It may be me non understanding deeply the content but I found it a bit more mystical rather than quickly see concrete applications

The professor is wooden. The quizzes are ridiculously easy. The programming assignments nearly impossible. Beware the hidden workings of the auto-grader. If you're very lucky, one of the other students will prompt the TAs to action in the forums. This is, by far, the worst course in this specialization.

Very nice course!

Was very detailed and well taught

First Coursera course I've taken with mistakes in the material and the grader. Also the first course where they mostly decided not to provide notebooks to review the material but instead made you scrub through the videos to find the actual code. Lastly the assignments were not terribly well tuned to the lectures (which were decent) and didn't make me feel like I had a great grasp of the material.

Good Course

The class was great. However the assignments had a lot of problems.

poor organization of the lesson and many many mistakes during assignments

The homework is quite not related to the lecture. And it is so hard to finish.

Course packed of information and topics in four weeks so it feels sometimes rushed. Especially the forth week (topic modelling, information extraction, semantic similarity and generative models all in one week) feels disconnected from the rest . The exercises do not help too much, with several mistakes and ambiguity. Nevertheless, the theme is really interesting. Possibly the errors can be corrected in the next runs. Plus for using Python and NLTK.