Text Mining Concepts, Implementation, and Big Data Challenge /

This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text pr...

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Bibliographic Details
Main Author: Jo, Taeho (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Big Data, 45
Subjects:
Telecommunication.
Computational intelligence.
Data mining.
Information storage and retrieval systems.
Quantitative research.
Communications Engineering, Networks.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Data Analysis and Big Data.
Online Access:Full-text access
Description
Summary:This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management. Presents techniques of preprocessing texts into structured forms; Outlines concepts of text categorization and clustering, their algorithms, and implementation guides; Includes advanced topics such as text summarization, text segmentation, topic mapping, and automatic text management.
Physical Description:XIII, 373 p. 236 illus., 148 illus. in color. online resource.
ISBN:9783319918150
ISSN:2197-6511 ;
DOI:10.1007/978-3-319-91815-0

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