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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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426 - 450 of 737 Reviews for Applied Text Mining in Python

By Ra F

Feb 11, 2020

The assignments are challenging, but they represent the complexity of real life Data Science problems and are therefore highly rewarding.

By Niels R

Apr 24, 2018

Overall this is well done course, but the autograder for week 2 needs a lot of work. It was buggy, broken and gave uninformative answers.

By Girish G

Nov 20, 2017

Awesome course..It is a good start for NLP. Comprehensively covers all topics. The Autograder for the programming assignment needs

By Giovanni S

Jul 31, 2020

Interesting but need much individual extra workload to properly implement at work because of the complexity of the topic itself.

By Thúllio D M Z

Jun 17, 2019

The module 4 could have more hours. The key concepts are passed too fast and doesn't have a notebook with the classes content.

By Anand K

Jun 17, 2018

Content-wise course is okey. But all the students faced issues during the assignment submissions because of the auto grader.

By Patrick L

May 26, 2018

Great course, didn't expect to get so much value out of it. Sometimes the instructions in the assignments are unlear though.

By Saqeeb

Jun 4, 2020

Had a little difficulty with the codes.

You would have run the code while teaching other wise very useful course. thank you.

By Petras V

Nov 24, 2017

Very good course. A little bit heavy on in-built functions which hides what is happening underneath, but overall very good.

By Edgar G

Oct 6, 2020

Good course, explanation was not as detailed as previous courses of this specialization but. A lot can be learned from it.

By Jiefei W

Apr 8, 2020

The most difficult one in this set of courses so far. It took time to understand the questions and figuring out solutions.

By Soumyadeep D

Mar 12, 2021

Good course but it mainly glosses over several important topics such as LDA, which could have been devoted mote time to.

By Deepalakshmi K

Jun 19, 2019

What an improvement from the previous few courses. The instructor teaches much better. I could mine text in my sleep now

By Fedyay B

Apr 20, 2022

Quite infomative but it was a bit too hard on terms in 3rd and 4th weeks for me since english is not my native language

By Sparsh B

Jul 18, 2020

One of the best courses on NLP. More practical examples should be included and more detailing of the topics is required

By Henri

Apr 19, 2019

Great course, but expect to spend a lot of time on the assignments because of errors/bugs in the questions/autograder.

By caroline I

Jan 27, 2024

Very much liked the course, although I would have welcomed more details/explanations for the last chapters of week 4.

By Christian L

Jul 25, 2019

Good course. Most part of the learning comes from personal work on the assignments (time vastly underestimated)

By Sajinu N

Dec 12, 2020

Some of the assignments are difficult to follow. Requires taking a lots of help from the discussion forums.

By Nguyen H A K

Jul 1, 2020

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

By CaitlinYao

Feb 17, 2019

The assignments are much harder than the slides, which means much more self-learning is required.

By Anubhav M

Dec 20, 2019

I will give it a 4 star because of the assignments. The lectures were good but were a bit short.

By Cong V C

Nov 9, 2018

The assignments are a little hard and have some errors, but the overall explanation is awesome.

By Yubin L

Feb 24, 2020

It's really good but I feel we may want to expand to 8 weeks so that each topic can go deeper.

By Oscar P

Oct 18, 2020

The last week doesn't have laboratorio only was work autonomous for solving the assignment.