Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Big(ger) Text to Big Data
By Tom Reamy
Foreword by Patrick Lambe
"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."
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.
2016 | 464 pp/softbound | ISBN 978-1-57387-529-5 | Regular Price $59.50 | Web Order Price: $53.55
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