Text Mining

Concepts, Implementation, and Big Data Challenge

By:

Taeho Jo

Format:

Hardback

Series:

Studies in Big Data

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Description

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.

Author Biography:

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”.

Release date NZ

June 20th, 2018

Author

Taeho Jo

Audience

Professional & Vocational

Edition

1st ed. 2019

Illustrations

148 Illustrations, color; 88 Illustrations, black and white; XIII, 373 p. 236 illus., 148 illus. in color.

Pages

373

Series

Studies in Big Data

ISBN-13

9783319918143

Product ID

27851724

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