Text Data Management and Analysis A Practical Introduction to Information Retrieval and Text Mining

• Main Authors: ChengXiang Zhai (Author), Sean Massung (Author)
• Format: Book
• Language: English
• Published: New York, NY ACM Books 2016
• Subjects: Data mining; Natural language processing (Computer science); Computational linguistics > Statistical methods; Natural Language Processing
• Online Access: Click Here to View Status and Holdings.
• Physical Description: xx, 510 pages illustrations (some color) 25 cm
• Bibliography: Includes bibliographical references (pages [477]-488) and index
• ISBN: 9781970001167; 9781970001198; 9781970001174; 9781970001181

The growth of "big data" created unprecedented opportunities to leverage computational and statistical approaches to turn raw data into actionable knowledge that can support various application tasks. This is especially true for the optimization of decision making in virtually all application domains such as health and medicine, security and safety, learning and education, scientific discovery, and business intelligence. Just as a microscope enables us to see things in the "micro world" and a telescope allows us to see things far away, one can imagine a "big data scope" would enable us to extend our perception ability to "see" useful hidden information and knowledge buried in the data, which can help make predictions and improve the optimality of a chosen decision. This book covers general computational techniques for managing and analyzing large amounts of text data that can help users manage and make use of text data in all kinds of applications.