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Text Mining and Analytics
Coursera
Course
Unknown

Text Mining and Analytics

University of Illinois Urbana-Champaign

This course covers major techniques for mining and analyzing text data to discover patterns, extract knowledge, and support decision making with statistical approaches.

Unknown7 weeksEnglish74,815 enrolled

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

What You'll Learn

  • Understand key techniques for text mining and pattern discovery
  • Apply statistical methods to analyze text data in various languages
  • Extract knowledge to support decision making
  • Learn main algorithms and principles in text mining

Prerequisites

  • No deep prior experience required; basic computer and internet skills helpful
  • Ability to read course instructions in English and complete short practice activities

Instructors

C

ChengXiang Zhai

Professor

Topics

Data Analysis
Data Science
Machine Learning
Unsupervised Learning
Analytics
Text Mining
Classification Algorithms
Data Mining
Predictive Analytics
Statistical Methods

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
تعلّم الآلة
التعلم غير المراقب
تحليلات
تنقيب النصوص
خوارزميات التصنيف
تنقيب البيانات
Predictive Analytics
Statistical Methods

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