| Description |
1 online resource |
| Contents |
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 -- Text analytics basics -- Getting started in text analytics -- Text analytics development -- Text analytics applications -- Enterprise text analytics as a platform |
| Summary |
"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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Text in English |
|
Print version record |
| Subject |
Data mining.
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Text processing (Computer science)
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Text files -- Analysis
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Big data.
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Social media.
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Electronic data processing.
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Word processing.
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Word processing operations.
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social media.
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COMPUTERS -- General.
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Word processing operations
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Word processing
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Big data
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Data mining
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Electronic data processing
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Social media
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Text processing (Computer science)
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| Form |
Electronic book
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| ISBN |
1573876852 |
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9781573876858 |
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9781573876865 |
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1573876860 |
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