Text Mining: Concepts, Implementation, 2E by Taeho Jo (.PDF)
File Size: 45.8 MB
Text Mining: Concepts, Implementation, and Big Data Challenge, 2nd Edition by Taeho Jo
Requirements: .PDF reader, 45.8 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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