Skip to Content
Deep text: using text analytics to conquer information overload, get real value from social media, and add big(ger) text to big data

Deep text: using text analytics to conquer information overload, get real value from social media, and add big(ger) text to big data

Reamy, Tom, author

"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"--EBSCOHost

eBook, Electronic resource, Book. English. Electronic books.
Published Medford, NJ : Information Today, Inc 2016
Rate this

This resource is available electronically from the following locations

Details

Statement of responsibility: Tom Reamy
ISBN: 1573875295, 1573876852, 1573876860, 9781573875295, 9781573876858, 9781573876865
Note: Print version record.
Note: Includes bibliographical references and index.
Language note: Text in English.
Physical Description: 1 online resource
Subject: COMPUTERS General.; Data mining.; Big data.; Social media.; Electronic data processing.; Text files Analysis.; Text processing (Computer science)
Local note: eBooks on EBSCOhost EBSCO eBooks for FE Collection (UK)

Contents

  1. Introduction: Text analytics and text mining; What is text analytics?; Is deep learning the answer?; Text analytics, deep text, and context; Who am I?; Plan of the book
  2. Text analytics basics
  3. Getting started in text analytics
  4. Text analytics development
  5. Text analytics applications
  6. Enterprise text analytics as a platform.