Text Mining and NLP using R and Python

This course is unstructured, parts seem to be copy pasted from other courses or presentations. Parts covering r code seem to be badly prepared (unexpected errors when running).

I can't download the file reviews from Amazon. Please I'd like some help. Thank you. There is no code available for the sessions about LDA and others. There are only for the first sections.

EL curso es bueno, sin embargo, recomendaría realizar este curso en varias partes (II,III, IV, etc), sobre todo en que pudieran existir mas ejercicios para práctica. Por otro lado, ninguno de los recursos habilitados .zip me abrieron .

explanations are superficial. Code is incomplete and doesn't work. Hard to understand. Not a good course.

Course is generally nice but its audio quality is poor. In some sections there is background traffic noise in the audio which is disturbing

The instructor explained the subject matter well. I was looking for more R code and exercises to strengthen my R skills.

It's very disappointing to say that the instructor has copy pasted from some of his lectures and created this course which are not in sync. The course starts with introductory concepts on text mining but doesn't translates well into the practical use of the concepts in R as is mentioned in the course title. The instructor explains in the course - what is a package and how it is installed or loaded, how to include comments using "#" in R-code but didn't take the effort to explain the code structure. He simple runs the code and says it is available for download with the course. To put it in simple words, my objective of joining this course wasn't to get a code file, instead I have come here to learn how I can write my own code and perform analysis which was not at all discussed in the course (except for extracting tweets and reviews from Amazon).

The overall info on Text Search is well done and easy to follow. For the main course though, I had several challenges: I could not download the files. After several messages to the instructor, he sent me some, but not all. I find it impossible to follow his steps in R when for opening his files. In his tutorial, R crashes frequently, steps need to be re-taken, and the entire section becomes too confusing to get anything out of it.

Unnecessarily Verbose! Unclear Explanations, Lots of mistakes made during the recordings & did not clean up for the final recording, K-Means Clustering Algorithms Explanation is also NOT broken down, as the old saying goes, "If you can't explain it simply, you don't understand it well enough".

Didnt actually cover the bonus lectures well. The R part of it was not highlighted greatly. Showing us step by step how code works would have been better

The presentation could be improved further; I have taken a couple of courses with Kirill Eremenko, and I like his style of presentation, so maybe I am being biase, but I still think there's more room for improvement. Thank you.

The Video Session of Text Analytics / Text Mining using R is very useful and strongly recommend everyone to go through this session .