文本挖掘和分析

Text Mining and Analytics

隶属于 数据挖掘 专项课程 » Explore algorithms for mining and analy…

伊利诺伊大学香槟分校

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文本挖掘和分析
  • 分类: 计算机
  • 平台: Coursera
  • 语言: 英语

隶属于 数据挖掘 专项课程 »
Explore algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.

课程概述

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.

授课大纲

This course will be covering the following topics:

Overview of text analytics and applications
Extending a search engine to support text analytics (text categorization, text clustering, text summarization)
Topic mining and analysis with statistical topic models
Opinion mining and summarization
Integrative analysis of text and structured data

先修知识

Proficiency in programming with either C++ or Java. Basic knowledge of probability and statistics.

授课形式

The course will have video lectures, accompanied by quizzes and peer graded assignments.

常见问题解答

How does this course fit into the Data Mining Specialization?
This is the fourth course in the track.

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