000			01705nam a22002417a 4500
005			20260721121936.0
008			260721m20242019|||||||| |||| 00| 0 eng d
020			_a9783031759789
040			_cPK-LaUMT
082			_a006.312 _bJOT-T
100	1		_aJo, Taeho _913906
245	1	0	_aText mining : _bconcepts, implementation, and big data challenge / _cTaeho Jo
250			_a2nd ed.
260			_aCham : _bSpringer, _c2024
300			_axv, 447 p.
490			_aStudies in big data, 45
500			_aIncludes bibliographical references and index.
520			_aThis popular book, updated as a textbook for classroom use, 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. The book features exercises and code to help readers quickly learn and apply knowledge. Presents an array of updated techniques for preprocessing texts into structured forms, geared for classroom use; 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
546			_aEng
650			_aBig data
650			_aText indexing _913907
942			_cBK
999			_c141534 _d141534