Chevron Left
Back to Applied Text Mining in Python

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

4.2
stars
3,822 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

RK

Jul 19, 2019

Course is great except for the auto grader issues. Please look into the issue. I would like to take this opportunity and thank Prof V. G. Vinod Vydiswaran and all those who helped me to complete it.

JL

Oct 25, 2017

The course itself is good, but the assigment system is not robust and some sentences are also ambiguous to users. Seeing from the forums, many users get confused in the assigments.

Filter by:

651 - 675 of 745 Reviews for Applied Text Mining in Python

By Ibadurrahman

•

May 25, 2020

the assignment was painful (the question is not very clear)

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 8, 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 16, 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