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
149,544 already enrolled
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4.2
(3,809 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 25 hours
Learn at your own pace
91%
Most learners liked this course
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 (279 ratings)Offered by
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Northeastern University
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