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

3,296 ratings
626 reviews

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

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!

May 3, 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. :-)

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351 - 375 of 617 Reviews for Applied Text Mining in Python

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 Vo C 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.


Oct 18, 2020

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

By Sangeeth S

Sep 4, 2020

Good course. I felt this course could have been better. Special thanks to my instructors.

By Zihao H

Mar 18, 2018

The final assignment is not well worded, and answer for the autograder is too strict.

By Daniel J

Aug 7, 2019

It is quite a dense topic, however the instructor manages to make it much simpler.

By lohith p

Aug 22, 2018

Good Material for the people who wants to start NLP. Thanks a lot for the material

By Kunal c

Aug 10, 2017

There were certain issues with the autograder. But the course content was good

By Marinko K

Jun 26, 2020

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

By Jay G

Mar 15, 2020

Thank you for this amazing course on Natural Language Processing using NLTK

By Saurabh D

May 24, 2020

Almost excellent. Would have given 5 if LDA was dealt with in more indepth

By Aleksey B

Mar 8, 2018

Some assignments were very ambigues - namely part One of final assignment.

By Talha I

Jan 12, 2020

An excellent course for beginners to enter the text mining practically.

By Shashidhar s

Jun 28, 2019

Ultimate course for any one to start with on Data Science using Python.

By Jesús P S

Jan 17, 2018

Hard course, good concepts but needs more visualization of the concepts

By Nicolas B

Aug 26, 2017

Great course, could improve the last week with more practical examples.

By Dinesh D

Dec 14, 2017

Course material was good but week 4 assignment set up is a disaster.

By Juan N R A

Aug 23, 2020

Nice Course, although i prefer the courses 1 and 3. were indredible

By Roberto L L

Mar 1, 2019

This an excellent course to open a door for NLP, an exciting topic.

By Abe G V T S

Oct 5, 2017

The class was great. However the assignments had a lot of problems.


Apr 29, 2019

Nice introductory course to NLP , give an insight into the topic .

By Samuel O

May 15, 2019

Nice, but first assignment shouldn't be considered here I think