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Applied Text Mining in Python, University of Michigan

4.2
1,293 ratings
247 reviews

About this 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

By CC

Aug 27, 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!

By BK

Jun 26, 2018

Would love to see these courses have more practice questions in each weeks lesson. Would be helpful for repetition sake, and learning vs only doing each question once in the assignments.

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242 Reviews

By Stephane Cormier

Dec 09, 2018

Week3 and 4. Too much of strange bugs with the auto grader. Not enougth examples...

By Sourav Pal

Dec 09, 2018

I was not satisfied

By Saichand Duggirala

Dec 03, 2018

Very clear and nice explanations.

By Yeifer Rodríguez Cairo

Nov 25, 2018

Is difficult, but good.

By Léa Fanchon

Nov 25, 2018

Amazing teacher.

By Bart T Cubrich

Nov 21, 2018

Really great course. Love the instructor. Hard, almost too hard for me, but very useful and applied.

By Craig A Benson

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 pavan balaji

Nov 19, 2018

good training

By Ankit Gupta

Nov 18, 2018

basic and nice course

By George M Jones

Nov 15, 2018

Good content.

Had to spend way too much time fighting the auto-grader.