Text Mining
Concepts, Implementation, and Big Data Challenge
2., Second Edition 2024
Springer Nature Switzerland
ISBN 978-3-031-75976-5
Standardpreis
Bibliografische Daten
eBook. PDF
2., Second Edition 2024. 2024
XV, 447 p. 368 illus., 147 illus. in color..
In englischer Sprache
Umfang: 447 S.
Verlag: Springer Nature Switzerland
ISBN: 978-3-031-75976-5
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Studies in Big Data
Produktbeschreibung
This 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.
Autorinnen und Autoren
Produktsicherheit
Hersteller
Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg, DE
ProductSafety@springernature.com
BÜCHER VERSANDKOSTENFREI INNERHALB DEUTSCHLANDS

