Ratings and Reviews for Applied Text Mining in Python

Good Lectures. But much to less introduction by real examples. Especially in the last lecture you need to add a Notebook. As guidency and recap.

Most assigmets were not in the notes. Still everyhting seems really usefull.

Wonderful course for starting Text Analytics and practicing the concept

Good for basic understanding only

Learned a lot. Recommended !!!

Excellent course

Just enough theory and an comprehensive guide through regex, nltk and some features from gensim (LDA). Assignmets are very challenging and some nice utilities are developed.

Great course overall. I have learned a lot, but last week had no tutorial example covering the topic and w4 assignment was not literally described resulting in spending a huge amount of time on trying which possible solutions will be accepted by autograder. Discussion forum helped a lot though.

Amazing Course.

This is a solid intro course to NLP that covers the basics. For what it is I do think it deserves a higher rating than the 4.0 it currently has. I was worried about the amount of complaints regarding the grading machine when I started, but I was fortunate to have only experienced a very minor, inconsequential problem. Maybe I was just too traumatized by grading problems with other courses (*cough yandex big data engineering cough*) that the grading machine in this course in comparison is pretty reasonable. For further learning, I discovered the NLP course in the Advanced Machine Learning specialization. I must say that is much more in depth and cutting-edge. Would totally recommend it as a sequel to this course.