Ratings and Reviews for Applied Text Mining in Python

The video lectures are good, but there are many issues with the Jupyter notebook assignments.

the worst ever I took here in Coursera

Nice introductory course to NLP , give an insight into the topic .

Course is very interesting. However, getting your assignments right is extremely annoying. Sometimes you have no idea why it's not right. Every upload you need to change the type of your upload.

ggod

Great course, but expect to spend a lot of time on the assignments because of errors/bugs in the questions/autograder.

The overall material was good. That being said, this is the first time I have taken a MOOC course and felt like 90% of the time I spent was fighting with the auto grader. The instructions in many instances were unclear, so when you are dealing with a grading system that grades items as 100% correct, vs 100% incorrect with really no feedback as to what you did wrong it can be very frustrating. Without the Discussion forums there is no way I would have ever figured out what to do for some parts of assignments.

Good intro into NLP and NLTK. Assignments provided great hands on practice with NLTK, SciKit Learn and regular expressions. Could use additional materials for key concepts such as sentiment analysis and ngrams. Could also use a more real world case study for the final project.

I found this course to be a good introduction to NLP. The lectures where fine as such, but lacked in technical focus making it difficult to tie them to the homework. I expect this is the style of the professor. The homework problems where good, but you do need to work to put it together with the lectures.

The course material is good. The main issue with this course are some of the assignments, which are pretty complicated, are not explained well enough and sometimes don't even test the knowledge of understanding text mining.