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Deep Text

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Bibliographic Details
Title: Deep Text
Description: Deep text is an approach to text analytics that adds depth to our ability to utilize a growing mass of unstructured text the world is drowning in. Here, author Tom Reamy explains what deep text is and surveys its many uses and benefits. He describes applications and development best practices, discusses business issues including ROI, provides how-to advice and instruction, and offers guidance on selecting software and building a text analytics capability within an organization. This is an important book for anyone who needs to be on the text analytics cutting edge, from developers and information professionals who create, manage, and curate text-based and Big Data projects to entrepreneurs and business managers looking to cut costs and create new revenue streams. Whether you want to harness a flood of social media content or turn a mountain of business information into an organized and useful asset, Deep Text will supply the insights and examples you'll need to do it effectively.
Authors: Tom Reamy
Resource Type: eBook.
Subjects: Big data, Social media, Text files--Analysis, Data mining, Text processing (Computer science), Word processing operations, Electronic data processing, Word processing
Categories: COMPUTERS / General
Database: eBook Collection (EBSCOhost)
FullText Links:
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Text:
  Availability: 0
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AccessLevel: 6
PubType: eBook
PubTypeId: ebook
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  Data: Deep Text
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  Data: Deep text is an approach to text analytics that adds depth to our ability to utilize a growing mass of unstructured text the world is drowning in. Here, author Tom Reamy explains what deep text is and surveys its many uses and benefits. He describes applications and development best practices, discusses business issues including ROI, provides how-to advice and instruction, and offers guidance on selecting software and building a text analytics capability within an organization. This is an important book for anyone who needs to be on the text analytics cutting edge, from developers and information professionals who create, manage, and curate text-based and Big Data projects to entrepreneurs and business managers looking to cut costs and create new revenue streams. Whether you want to harness a flood of social media content or turn a mountain of business information into an organized and useful asset, Deep Text will supply the insights and examples you'll need to do it effectively.
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  Data: <searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Text+files--Analysis%22">Text files--Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Text+processing+%28Computer+science%29%22">Text processing (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Word+processing+operations%22">Word processing operations</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Word+processing%22">Word processing</searchLink>
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    Classifications:
      – Code: 006.312
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Social media
        Type: general
      – SubjectFull: Text files--Analysis
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Text processing (Computer science)
        Type: general
      – SubjectFull: Word processing operations
        Type: general
      – SubjectFull: Electronic data processing
        Type: general
      – SubjectFull: Word processing
        Type: general
    Titles:
      – TitleFull: Deep Text
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Tom Reamy
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            NameFull: Tom Reamy
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2016
            – D: 05
              M: 08
              Type: profile
              Y: 2016
          Identifiers:
            – Type: isbn-print
              Value: 9781573875295
            – Type: isbn-electronic
              Value: 9781573876858
            – Type: isbn-electronic
              Value: 9781573876865
          Titles:
            – TitleFull: Deep Text
              Type: main
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