Text Mining and Analytics

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Product is rated as #47 in category Data Science
Learning Experience9.0
Content Rating9.2

Text mining cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, and support decision making

Last updated on November 13, 2021 8:49 pm

About this Course

This course will cover the significant methods for mining and examining text data to find interesting patterns, extract helpful understanding, and support decision making, with a focus on analytical methods that can be typically used to arbitrary text data in any natural language without any or minimum human effort.

Detailed analysis of text data needs an understanding of natural language text, which is understood to be an uphill struggle for computer systems. However, a variety of analytical methods have actually been revealed to work well for the “shallow” however robust analysis of text information for pattern finding and understanding discovery. You will find out the standard principles, concepts, and significant algorithms in text mining and their possible applications.

Syllabus

The course on text mining and analytics has been offered by the University of Illinois at Urbana-Champaign.

Orientation on text mining and analytics

Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

$79.00

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  • Coursera
  • University of Illinois
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Free Trial (Paid Course & Certificate)
  • English
  • None Pre-requisite
  • Data Mining Natural language processing Probability
Learning Experience
9.0
Content Rating
9.2
PROS: The pipeline proposed helps you understand text mining Well defined key concepts and techniques for text mining and analytics Provides a good foundation of text mining and analytics like PLSA and LDA
CONS: Difficult programming assignments and quizzes

Description

About this Course

This course will cover the significant methods for mining and examining text data to find interesting patterns, extract helpful understanding, and support decision making, with a focus on analytical methods that can be typically used to arbitrary text data in any natural language without any or minimum human effort.

Detailed analysis of text data needs an understanding of natural language text, which is understood to be an uphill struggle for computer systems. However, a variety of analytical methods have actually been revealed to work well for the “shallow” however robust analysis of text information for pattern finding and understanding discovery. You will find out the standard principles, concepts, and significant algorithms in text mining and their possible applications.

Syllabus

The course on text mining and analytics has been offered by the University of Illinois at Urbana-Champaign.

Orientation on text mining and analytics

Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

Specification:

  • Coursera
  • University of Illinois
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Free Trial (Paid Course & Certificate)
  • English
  • None Pre-requisite
  • Data Mining Natural language processing Probability

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Text Mining and Analytics
Text Mining and Analytics

$79.00

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