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

4.3
stars
3,481 ratings
668 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

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.

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!

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651 - 659 of 659 Reviews for Applied Text Mining in Python

By Vivek G

Dec 2, 2019

Only useful for coarse understanding of the topic.

By kumar s

Apr 26, 2020

tired of auto grader,...and prof not interested

By Feng Q

Oct 4, 2019

totally can't understand the Indian accent.

By Mahmoud

Apr 29, 2019

the worst ever I took here in Coursera

By Sandy F

Apr 25, 2020

worst course in the series by far.

By Christopher S

Apr 22, 2021

Horrible, I lost motivation

By Sourav P

Dec 9, 2018

I was not satisfied

By Angertdev S

Nov 7, 2019

broken assignments

By Lawrence T

Jan 23, 2021

Horrible!