Ratings and Reviews for Applied Text Mining in Python

Nice, but first assignment shouldn't be considered here I think

Assignment grading is way too rigid and not reflective of real world issues. It can be very frustrating.

the assignment is so strange...

Los ejercicios de este curso tienen una dificultad muy superior a lo mostrado durante las clases, lo que hace que uno deba de invertir mucho tiempo en los mismos investigando en recursos internos. Por ejemplo, con una dedicatoria semanal de 10-15 horas me llevó 2 meses enteros hacer el curso.

The course material is good and I would give a 5-star for it. The reason why I took 1 star back is that the instructor seems to be not very well prepared for this course. First, he used 'so' too frequently while lecturing. I am not saying that he should totally not use any filler words (like 'hmm' or 'um', and 'so' is one of them), but saying that using many fillers could cause distraction and confusion. As 'so' is one of the transition words, it implies a logical connection between 2 sentences. Using 'so' a lot was actually distracting me from following the course material because I had to identify which 'so' was a filler so that I could ignore it and which 'so' was a consequence indicator so that I could pay attention to the following sentence. Second, he sometimes seemed to get lost with the slides. For example, from Week 3 Video "Learning Text Classifiers in Python" slide at 13:36, the slide was easy to understand by showing the codes saying "NLTK.classify has something called SklearnClassifier which could let you use some models from scikit-learn such as naive_bayes or svm and here are 2 examples", but his way of explaining the slide was quite confusing. This kind of "mistakes" cost me extra time to look at the scripts to make sure that I didn't misunderstand anything.

Good course. But, I was expecting more depth.

Got to learn a lot. Would recommend it to others for text mining.

Great course. Worth taking it. Hard, but you will learn a lot. Homework 1 is confusing and discouraging, but pass it and the rest gets more interesting.

Nice content and good explanation with examples

Out of the 5 courses in the specialization, this course was not up to the level of the other courses. Full of theory not much practical explanations and there wasn't much practice modules in each week just like other modules. For Assignments, i was not even able to refer any module in this course to check for syntaxes. It was very tough for me to solve assignments as there was no reference in the videos or practice modules. Need huge improvements in the course.