This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.

The book describes the emergence of big data technologies and the role of Spark in the entire big data stack.

Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science.