by Angela Guess

A new press release reports, “Information Today, Inc. (ITI) announced the publication of Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Big(ger) Text to Big Data by Tom Reamy. 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. 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.”

The release continues, “Deep Text is 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, Reamy supplies insights and examples for analyzing text effectively.”

Reamy writes in the book’s Introduction, “Text analytics, in its broadest sense, is the major tool for dealing with unstructured text other than the human brain—and there are only a handful of degree programs that cover unstructured text in any depth and they focus mainly on text mining as part of a computer science degree… Because of the complexity of text, text analytics will probably never be as easy to learn as database design and programming. But we can build a better foundation for text analytics to improve not only how we train people in text analytics, but how we understand the business value of text analytics as a whole.”

Read more at PRWeb.

Photo credit: Information Today