Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value From Social Media, and Add Big(ger) Text to Big Data

摘要

Tom Reamy begins Deep Text, his framework for companies who wish to begin using text analytics, by repeating the common assertion that anywhere from 80 percent to 90 percent of a company's valuable information is trapped in unstructured text. This could include the thousands of text files saved on corporate servers, in internal memos and e-mails, and even in comments from customers on social networks. Reamy, the chief knowledge architect and founder of the KAPS Group, offers a guidebook for incorporating a text analytics approach that focuses on developing and applying rules to unearth the value hidden in unstructured text. Reamy believes text analytics to be the best tool we currendy have outside of the human brain to understand the value of documents. He calls his process "deep text," a reference to the deep learning model that originated in the field of artificial intelligence.