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
Applied Text Mining in Python
This course is part of Applied Data Science with Python Specialization
Instructor: V.G. Vinod Vydiswaran
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4.2
91%
(3,814 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 25 hours
Learn at your own pace
Earn a Certificate
With paid plans
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
7 assignments
Taught in English
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This course is part of the Applied Data Science with Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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
Instructor ratings
4.0 (281 ratings)Offered by
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Taking this course by University of Michigan may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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4.2
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Showing 3 of 3814
CB
5
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
K
4
Reviewed on Nov 3, 2019
A little bit stretched my python skill, but learned a lot. Forum is a good place, and maybe next I will join some study group online or offline to have more discussions.
AM
4
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.
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