Ratings and Reviews for Applied Text Mining in Python

The last week is too superficial. There need to be more effort put there for complete study experience.

NICE COURSE AND A GOOD INTRODUCTION TO THE NLP ALGORITHMS

IF you want to learn text mining this is the best place for your first step

Interestng topics, well taught.

Me ha ayudado mucho a empezar a realizar mi trabajo de grado. Muchas gracias.

Everything was awesome, assignment 2 was my favorite in a long while in this specialization series. Week 4 was a little weak, and felt rushed. Overall, I enjoyed this course 4 of the 5.

best

The lecture videos give a nice, basic intro to NLP concepts which are then applied in the assignments. I thought the assignments were good although I found them considerably easier than those of the preceding courses in the specialisation. With this course I had to spend some time reading past participants' posts on the forum because I found some assignment question formulations slightly unclear. Overall, a very nice course.

This is my least favourite course in the specialisation. Natural language processing is an exciting field and I think there is a lot more potential to enthuse and engage students. The instructor scratches the surface of text mining by going through brief sets of codes on ppt slides. I thought it would be meaningful to use more real-world datasets (as in the previous courses in the specialisation) and have students follow through some examples on Jupyter Notebook. I also felt that the exposition by the instructor was not the most intuitive or lucid. It could be much clearer.

Awesome!