Ratings and Reviews for Applied Text Mining in Python

Great learning experience! Nice lectures and assignments.....

Good Insights on Text Mining and its application.

I have been really interested in text mining for his wide applications. This course is very nice, it gives all the bases to deal with text mining problems! However, there could have been a Jupyther Notebook to put in applications the bases with Python about Topic Modeling in order to be more confortable for the Assignement 4.

ambiguous, not very clear. especially for the last course, the task could be difficult for novice the course didn't present detailed explain for the code and sort of hard to follow

Very Good

Great course, interesting material.

The course is very helpful and the instruction is really good!

I like week 1-3 of this course. week 4 is terrible though. Week 1-3, Ilike this instruction and step by step assignment structure. I start to have some sense of NLP. However, week 4 is probably the week with shortest instruction. Very brief introduction to LDA etc, then a much much much more difficult assignment. It took me several days to read documentation and search stackflow to complete the assignment. So, I finally know how to use regex in week1, start to know basic idea of tokenize and ps in week 2. and refreshed machine learning, actually, week3's ML instruction is better than course 3 of this specialization. Then week 4 is a hell. IF they really want to revise this course, I strongly suggest to have a clear case study to go through. This is a must for those who are not familiar with NLP.

It was not well designed. The explanations were not adequate. It was more theoretical with practical aspects.

Seems sort of unupdated, lacking enough applications for the student to really get a grasp of the contents. Lectures should explain theory more thoroughly