Название: Text Mining: Concepts, Implementation, and Big Data Challenge, 2nd Edition
Автор: Taeho Jo
Издательство: Springer
Год: 2024
Страниц: 451
Язык: английский
Формат: pdf (true)
Размер: 45.8 MB

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.

We adopt Java as the tool of implementing the text classification system. Because the program which is developed by Java executes by the virtual machine, its execution may be slow. In spite of that, the reason of adopting Java is that the performance of CPU is increasing continually and debugging is very easy. In Java programming which keeps the object-oriented programming, it is very easy to reuse the source code in other programs for implementing a program. In this chapter, we present the implementations of the text categorization system in Java source codes which are given in the Eclipse.






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