Text Mining and Analytics

开始时间: 06/08/2015 持续时间: 4 weeks

所在平台: Coursera

课程类别: 计算机科学

大学或机构: University of Illinois at Urbana-Champaign( 伊利诺伊大学厄巴纳 - 香槟分校)

授课老师: ChengXiang Zhai

   

课程主页: https://www.coursera.org/course/textanalytics

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课程详情

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.

课程大纲

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

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Deep Learning Specialization on Coursera

课程简介

Explore algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.

课程标签

文本挖掘 文本分析 NLP 自然语言处理

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