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Learner Reviews & Feedback for Applied Text Mining in Python by University of Michigan

4.2
stars
3,784 ratings

About the Course

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is 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 grouping them by similarity (topic modelling). This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python....

Top reviews

CC

Aug 26, 2017

Quite challenging but also quite a sense of accomplishment when you finish the course. I learned a lot and think this was the course I preferred of the entire specialization. I highly recommend it!

JR

Dec 4, 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.

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576 - 600 of 737 Reviews for Applied Text Mining in Python

By Jaerong A

Jun 21, 2020

The lectures are pretty fast-paced, and the assignments expect you to do things that are not well covered in the lecture. You need to learn a lot by yourself to learn anything from the lecture. Besides, autograding is a disaster.

By Craig A B

Nov 19, 2018

You do more work learning on your own to be able to do the projects and quizes then is given in the lectures. These University of Michigan classes aren't very balanced in terms of lectures, reading, and difficulty of projects.

By Mayeul P

Nov 6, 2017

Great teaching material and clear explanations. I learnt a lot.

Nevertheless the assignments auto-grading tool is awful.

I spent more time looking for the necessary hacks to pass the assignments than working on text mining.

By Andres D A C

Mar 23, 2024

Apart from the last week, where the videos does not explain anything related to the assignment, the way the exercises are worded is confusing and you need to look for tutorial about how to use the lda model, it was fine.

By Berk A

Nov 17, 2022

What is taught in the lessons and what is asked in the assignments have nothing to do with it. Assignments are too difficult. You can try if you want to challenge, but if you're just learning, I don't recommend it.

By Ruiqi Y

Apr 26, 2020

The content of the video and the assignment needs to be updated. Some of the questions in the assignment were not clear and autograder can be a pain. The topics are also not too coherent from weeks to weeks.

By Tianyi C

May 15, 2020

The assignment is very easy compare to the previous three courses, just need to apply some library and done. The syllabus is poorly designed, especially for the last two weeks. Overall, don't recommend.

By James M

Apr 18, 2018

Autograder bugs make for a frustrating time completing the assignments. Independent research and self-guided learning will come in handy for this course as the lectures (mostly) are uninformative.

By Elias

Oct 17, 2017

A nice course overall but maybe not the best in the specilisation.

It may be me non understanding deeply the content but I found it a bit more mystical rather than quickly see concrete applications

By Muhammad H M

Dec 6, 2020

A reasonable course for a "first" look at natural language processing, but, you will definitely need complimentary resources for grasping NLTK concepts. Overall a reasonable introductory course.

By Robert S

Nov 15, 2020

Too much time required to review discussion threads to understand or fix problems with the coding assignments. Lectures provided little substantive assistance in handling the coding problems.

By Fabian M

Oct 27, 2023

There are too many issues with the assignments / the autograder in this course. Also, I haven't enjoyed the presentation of the content as much as in the other courses of this specialization.

By Edvard M

Jul 12, 2022

Interesting subject, but compared to other Applied Python courses in the same track it felt more hand-wavy. Would have been interested in understanding more about details. Still good though

By Jeff B

Oct 16, 2018

The course would be significantly improved if there were more hands-on demos during the lectures. Lectures are very high-level and aren't terribly useful when trying to do the lab exercises.

By SHIBLI N

Jul 22, 2023

I faced difficulty to complete 4th week Assignment-04. There should be lab-worked in week-4. It will help to complete the assignment with proper understanding. Apart from that course is fine

By Jim S

Aug 24, 2017

Course content was informative and would benefit greatly from more depth. Some of the automated grading solutions are lacking/buggy. Excellent forum participation was key to success.

By eon t

May 7, 2020

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

By Deleted A

Apr 15, 2018

Very very long videos. Makes a person zone out. The videos need to be smaller in length as they become very hard to complete. However, the content is good and easy to understand.

By Oscar F R P

Aug 26, 2020

Videos are too long and the lectures sometimes go too fast and shallow to grip on information for the assingments, though those can be very manageble consulting stackoverflow

By Ashwani K

Apr 14, 2021

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.

By Reed R

Mar 7, 2018

Overall a good course and a nice introduction to Text Mining but issues with the autograder and some unclear instructions can make the assignments a little painful.

By James S

Feb 2, 2018

Some good stuff here, but really drops in quality toward the end and became a real slog to finish. Shame, since the rest of the specialization has been outstanding.

By Tracy S

Mar 12, 2018

assignments are ok although with some unclear issues. however, i think the last week tutorials can be richer and more informational. i love the week1-3 tutorials.

By Kieran W

Feb 21, 2018

Overall good material. Not enough actual code examples at times, especially towards the end. The assignments weren't completely relevant and slightly buggy.

By Juan M

Apr 28, 2020

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