Unstructured Data Analytics

Preface

Over the past few years, we've witnessed a lot of hype and blandishment around Big Data, the Internet of Things, and artificial intelligence such as machine learning, deep learning, and cognitive analytics. The news constantly showcases how technological and analytical advancements change our lives and the way we do business. Transforming Big Data and the Internet of Things into actionable intelligence is the next frontier of innovation in this augmented age of analytics and is a top priority for leading data-driven executives.

Have you ever wondered how job boards like Monster match resumes to job descriptions without relying on an army of resources? How Google understands text in queries to provide pertinent articles, videos, images, and the like? How Spotify recommends a personalized Weekly Playlist that matches your musical tastes? How Twitter or Facebook derive user sentiment from millions of daily tweets and updates? How companies leverage the voices of their customers to improve client acquisition and retention or to develop new products? How IBM Watson assists physicians in diagnosing some diseases and recommends the best treatment? How national security organizations tap into billions of online communications to detect and prevent threats? How machines can find legal information to assist lawyers to defend cases? If your answer is “yes,” then unstructured data analytics (UDA) is the door to open for clues.

This book is about the analysis of unstructured data. ...