Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Bigger Text to Big Data This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Bibliographic Details

Title

Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Bigger Text to Big Data

Publisher

Information Today Inc

Publication Date

2016

Language

English

ISBN 10

1573875295

ISBN 13

9781573875295

Binding

paperback

Condition

Very Good

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About this title

Synopsis

Deep text is an approach to text analytics that adds depth and intelligence 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.

Review

"A remarkably authoritative deep-dive into a field that will be brand-new to many and eye-opening for all. ... A treasure trove of technical detail, likely to become a definitive source on text analytics." --Kirkus Reviews

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