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

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

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 applicat...

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Bibliographic Details
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.
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245 1 0 |a Text Data Management and Analysis  |b A Practical Introduction to Information Retrieval and Text Mining  |c ChengXiang Zhai and Sean Massung 
264 # 1 |a New York, NY  |b ACM Books  |c 2016 
264 # 4 |c ©2016 
300 # # |a xx, 510 pages  |b illustrations (some color)  |c 25 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
504 # # |a Includes bibliographical references (pages [477]-488) and index 
505 0 # |a Introduction -- Background -- Text data understanding -- MeTA: a unified toolkit for text data management and analysis -- Overview of ext data access -- Retrieval models -- Feedback -- Search engine implementation -- Search engine evaluation -- Web search -- Recommender systems -- Overview of text data analysis -- Word association mining -- Text clustering -- Text categorization -- Text summarization -- Topic analysis -- Opinion mining and sentiment analysis -- Joint analysis of text and structured data -- Toward a unified system for text management and analysis. 
520 # # |a 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. 
526 0 # |a IMCXXX  |b IM246  |5 IM 
526 0 # |a Information Storage and Retrieval Systems  |b Bachelor of Information Science (Hons) Records Management  |5 Faculty of Information Management 
650 # 0 |a Data mining 
650 # 0 |a Natural language processing (Computer science) 
650 # 0 |a Computational linguistics  |x Statistical methods 
650 # 0 |a Natural Language Processing 
700 1 # |a Sean Massung  |e author 
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