Text Mining - Concepts, Implementation, and Big Data Challenge (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 45
Release date:	June 2018
First published:	2019
Authors:	Taeho Jo
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	373
Edition:	1st ed. 2019
ISBN-13:	978-3-319-91814-3
Categories:	Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-91814-1
Barcode:	9783319918143

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