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Data ScienceAll Levels

Text Mining and Analytics

This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision...

By ChengXiang Zhai on Coursera

About This Course

This course will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort. Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications.

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Frequently Asked Questions

How much does Text Mining and Analytics cost?

Visit the Text Mining and Analytics course page for current pricing and available discounts.

Who teaches Text Mining and Analytics?

Text Mining and Analytics is taught by ChengXiang Zhai, University of Illinois Urbana-Champaign.

What skill level is Text Mining and Analytics for?

This course is designed for all levels learners.

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Students0
DurationSelf-paced
LevelAll Levels
Languageen
PlatformCoursera