Ratings and Reviews for Applied Text Mining in Python

I learnt about NLTK package and its capabilities. It was good to know how to build vocabulary and guess missing words and match sentences lemmatizing them. Good eye opener course. There is way much more to be learnt in this subject. This is just an introduction (a good one).

I found this course the least valuable of the courses in the specialisation so far. The video content wasn't quite as slick/informative, the assignments not quite as useful or well worded, making them ambiguous in a few places and generally it just wasn't quite as good. Not terrible, but just not quite up to the high standards of the other courses so far.

The explanations weren't the best and pacing wasn't amazing, but some good ground covered and parts were interesting.

Only useful for coarse understanding of the topic.

Challenging but fun class, I learned a lot. Much to build on and keep learning about. Thanks

It needs update

it gives you the right things to start making models to extract information without getting too technical.

A lot of exercises have unclear instructions (see discussion forums). The exercise on topic modeling especially was a waste of time, you're not really learning anything by running these small pre-frabricated scripts. In general the exercises were extremely shallow and did not require any creativity or actual problem-solving, in contrast to some of the earlier courses in this Specialization.

Excellent course

Compared to other courses, there's a disconnect between what's covered in the lecture and what's needed to complete the assignments; the lectures at times have a more theoretical flavor. For a course with "applied" in the name, that's a more significant mistake.