Text Mining: Concepts, Implementation, and Big Data Challenge

Text Mining: Concepts, Implementation, and Big Data Challenge

by Taeho Jo

Hardcover(1st ed. 2019)

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Product Details

ISBN-13: 9783319918143
Publisher: Springer International Publishing
Publication date: 06/08/2018
Series: Studies in Big Data , #45
Edition description: 1st ed. 2019
Pages: 373
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

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”.

Table of Contents

Part I: Foundation
1 Introduction
2 Text Indexing
3 Text Encoding
4 Text Association
Part II: Text Categorization
5 Text Categorization: Conceptual View6 Text Categorization: Approaches
7 Text Categorization: Implementation
8 Text Categorization: Evaluation
Part III: Text Clustering
9 Text Clustering: Conceptual View
10 Text Clustering: Approaches
11 Text Clustering: Implementation12 Text Clustering: Evaluation
Part IV: Advanced Topics
13 Text Summarization
14 Text Segmentation
15 Taxonomy Generation
16 Dynamic Document Organization
References
Index

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