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Text mining and analysis : practical methods, examples, and case studies using SAS

Chakraborty, Goutam author. ;Pagolu, Murali, author.

Cary, N.C. : SAS Institute 2013

Online access

  • Title:
    Text mining and analysis : practical methods, examples, and case studies using SAS
  • Author/Creator: Chakraborty, Goutam author.
  • Pagolu, Murali, author.; Garla, Satish, author.; SAS Institute.
  • Publisher: Cary, N.C. : SAS Institute
  • Creation Date: 2013
  • Language: English
  • Physical Description: 1 online resource : color illustrations.
  • Bibliography: Includes bibliographical references and index.
  • Subjects: Data mining; Text processing (Computer science); Mathematical statistics; SAS (Computer file)
  • Description: Annotation Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis.
  • Notes: Includes bibliographical references and index.
  • Contents: Introduction to text analytics
    Information extraction using SAS crawler
    Importing textual data into SAS text miner
    Parsing and extracting features
    Data transformation
    Clustering and topic extraction
    Content management
    Sentiment analysis.
  • OCLC Number: 871005397
  • Identifier: ISBN9781612907871;ISBN1612907873