Ratings and Reviews for Applied Text Mining in Python

The previous three courses has really made my expectation quite high. This course was fine, however a more details of programming examples and tutorials were needed.

I had the opportunity of use the learned in this course for a project in my work about RPA with python, specifically for process a big volume of data.

The assignments need significant improvement. Additionally, the lecturer never explained the NLP workflow succinctly. He more or less provided a bunch of terms with relatively little explanation. I was originally very excited about this particular course.

Amazing. The teacher is spectacular!

The exercises at the end of each week were great, but the lectures seemed only "mildly" related to what you had to come up with in the exercises. Pro Tip: Skip quickly through the lectures, because they do not provide much value and you will need to scour the forums and stack exchange for any answers anyway.

Good course but it mainly glosses over several important topics such as LDA, which could have been devoted mote time to.

Unlike the first 3 courses of this specialization, I'm very disappointed with this course. It didn't give us a good feel of the technology, leaving a lot of blank spaces in the subject. A lot of important subjects were just mentioned briefly, without training examples to make it clear, and those concepts were asked in assignments. In Week 3 there is a concept that it's been taught wrongly, and everyone is pointing this out on foruns. But, even after almost FOUR years, this hasn't been correct. We have to thank the mentors, those are the ones that are really putting the work patching those errors. In week 4 the course didn't provide a workbook with examples, thanks for the mentors, they got us one. Really disappointed with the overall lack of attention from the authors with this course. Especially after 3 great first courses in this specialization.

I felt i learnt quite a lot, However some parts of the assignments hadn't been explained at all in the course videos. I didn't feel the assignments were well explained.

Lack of more practice, on the first two weeks, there so much programming (witch are not difficult) things on strings and re that when you see the jupyter notebook, there is no one single example, and the assigment become on a look for answer on web, which is good, however the intentions to see the videos is to learn and practice, but if you focus only on a self learning, the course lose importance

The course could be much better if somebody would read through the discussion comments and make appropriate changes to the wording in lab assignments. I would not have completed the lab assignments without reading through several of the course discussion comments. Many of these comments have been there for years, yet no improvement to the course material.