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).



Applied Text Mining in Python
This course is part of Applied Data Science with Python Specialization

Instructor: V. G. Vinod Vydiswaran
Access provided by Coursera Learning Team
150,845 already enrolled
(3,812 reviews)
What you'll learn
Understand how text is handled in Python
Apply basic natural language processing methods
Write code that groups documents by topic
Describe the nltk framework for manipulating text
Skills you'll gain
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There are 4 modules in this course
What's included
5 videos4 readings2 assignments1 programming assignment1 discussion prompt2 ungraded labs
What's included
4 videos2 assignments1 programming assignment1 discussion prompt1 ungraded lab
What's included
7 videos1 assignment1 programming assignment1 ungraded lab
What's included
4 videos4 readings2 assignments1 programming assignment
Instructor

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3,812 reviews
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Reviewed on Sep 19, 2017
Excellent course! Video lectures are high quality, with realistic problems and applications. Exercises are reasonably challenging, and all quite fun to do! Strongly recommend this course
Reviewed on Jan 22, 2021
Good Course, the only problem was in week 3 the sklearn method roc_curve() is used incorrectly and then in the assignment you need to use this method incorrectly again.
Reviewed on Aug 1, 2019
Excellent course for someone like me who is ambitious and aspires to gain knowledge on new things. The videos can be made bit more elaborate, seems to be rushing towards the end.
Recommended if you're interested in Data Science
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