This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists.
Hands-on Text Mining and Analytics
Gain insight into a topic and learn the fundamentals.
3.9
(40 reviews)
Intermediate level
Some related experience required
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Details to know
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Taught in English
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There are 6 modules in this course
What's included
4 videos1 reading1 peer review
What's included
5 videos1 reading1 peer review
What's included
6 videos2 readings1 peer review
What's included
5 videos2 readings1 peer review
What's included
6 videos1 reading1 peer review
What's included
5 videos1 reading1 peer review
Instructor
Offered by
Recommended if you're interested in Data Analysis
Institut Mines-Télécom
University of Illinois Urbana-Champaign
Coursera Project Network
University of Colorado System
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3.9
40 reviews
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55%
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10%
KA
5
Reviewed on May 30, 2017
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Frequently asked questions
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