Learner Reviews & Feedback for Applied Text Mining in Python by University of Michigan
About the Course
handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The
second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for
use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text
classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and...
Top reviews
JR
Dec 5, 2020
Excellent course to get started with text mining and NLP with Python. The course goes over the most essential elements involved with dealing with free text. Definitely worth the time I spent on it.
BK
May 4, 2019
Lectures are very good with a perfect explanation. More than lectures I liked the assignment questions. They are worth doing. You will get to know the basic foundation of text mining. :-)
651 - 675 of 744 Reviews for Applied Text Mining in Python
By Benjamin C
•Jan 2, 2020
Good course overall but necessary upadates are lacking.
By SHIVANGI N
•Sep 10, 2020
More of practical implementation should be included
By Nilesh C
•Jun 1, 2020
Topic Modelling should be explained in more detail.
By Vasilis S
•Sep 1, 2018
Poor ability from lecturer to explain key concepts.
By Valeriya P
•Aug 28, 2017
the course is ok, should be more technical though.
By Alonso G L
•Apr 11, 2020
Very exciting topic, but not so exciting course.
By ERNESTO L C
•Nov 9, 2020
Its ok but was the worst of the specialization
By 陆徐超
•Dec 30, 2017
Good contents, but not very clearly explained.
By Lav
•Jul 5, 2020
programming assignments are too technical
By Ashwini B
•Jun 3, 2018
Topics like LDA need better explanations.
By Navjyot W
•Jan 18, 2020
The assignments were a little complex
By Joan P
•Nov 7, 2017
A lot of issues with the auto graders
By Dhanush P
•Apr 25, 2020
Last week is not properly thought
By Imran A G
•Sep 24, 2018
Good for basic understanding only
By Abhijit K
•Jun 8, 2020
More Hands on is required on it.
By Silvia S S
•Apr 24, 2018
Assignments were too difficult.
By Georgios P
•Oct 30, 2017
Week 4 was not sufficient
By Yeifer R C
•Nov 25, 2018
Is difficult, but good.
By Sara C
•May 17, 2018
I like the lecturer.
By Xuening H
•Jan 31, 2020
Bad autograder
By pavan b
•Nov 19, 2018
good training
By Aditya M
•Jul 21, 2020
nice
By Alperen B O
•Dec 16, 2020
bad
By Peter B
•Jul 11, 2018
I have major qualms with this course. So far in the specialization, this course is certainly the worst. *The autograder is terrible, having had serious, known issues for 8+ months at the time of this review.*The course content is incorrect, teaching learners the incorrect way to calculate roc_auc_score. *The course blows through certain topics, like Part-of-Speech tagging & Parsing sentence structure, leaving learners like myself without a good overview. I don't even have a good set of links to learn more. I can run a few commands and understand why it might be important, but I have no idea how to use it in practice. *Unlike other courses in the specialization, this one doesn't have good links to interesting academic papers or real world applications.*Unlike other courses, every week does NOT include a weekly Juptyer notebook.Here's a simple solution - give Uwe, an excellent and active Mentor, the permissions to fix this broken course. On the plus side: the instructor is ok, the topic is interesting, and this course really only feels terrible relative to the excellent courses in this specialization. I can still hardily recommend the specialization...