Text Mining by Taeho Jo

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Summary

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. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.

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Text Mining by Taeho Jo

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.

Dr. Taeho Jo works as a faculty member for school of game in Hongik University, South Korea. He received his PhD from University of Ottawa in 2006. His research spans text mining, neural networks, machine learning, and information retrieval. He has four years' experience working for industrial organizations and ten years' experience working for in academia. He has published almost 150 research papers, and he was awarded two times in the world wide biography dictionary, Marquis Who's Who in the World.

SKU Unavailable
ISBN 13 9783031759758
ISBN 10 3031759753
Title Text Mining
Author Taeho Jo
Series Studies In Big Data
Condition Unavailable
Binding Type Hardback
Publisher Springer International Publishing AG
Year published 2024-12-15
Number of pages 447
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.