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.
| ISBN: | 9783319918143 |
| Publication date: | 20th June 2018 |
| Author: | Taeho Jo |
| Publisher: | Springer International Publishing AG |
| Format: | Hardback |
| Pagination: | 373 pages |
| Series: | Studies in Big Data |
| Genres: |
Data mining Communications engineering / telecommunications Artificial intelligence Information retrieval Data warehousing Business mathematics and systems |
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.
Text Mining features in the following genres: Data mining, Communications engineering / telecommunications, Artificial intelligence, Information retrieval, Data warehousing, Business mathematics and systems
Paperback, Hardback. Not Available.
Text Mining was written by Taeho Jo and published by Springer International Publishing AG
Text Mining has 373 pages
Yes it is part of Studies in Big Data series