Open access peer-reviewed Edited Volume

Theory and Applications for Advanced Text Mining

Edited by Shigeaki Sakurai

Tokyo Institute of Technology, Japan

Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge. Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields. This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language. I believe that this book will give new knowledge in the text mining field and help many readers open their new research fields.

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Theory and Applications for Advanced Text MiningEdited by Shigeaki Sakurai

Published: November 21st 2012

DOI: 10.5772/3115

ISBN: 978-953-51-0852-8

eBook (PDF) ISBN: 978-953-51-5700-7

Copyright year: 2012

Books open for chapter submissions

41779 Total Chapter Downloads

41 Crossref Citations

31 Web of Science Citations

64 Dimensions Citations


Open access peer-reviewed

1. Survey on Kernel-Based Relation Extraction

By Hanmin Jung, Sung-Pil Choi, Seungwoo Lee and Sa-Kwang Song


Open access peer-reviewed

2. Analysis for Finding Innovative Concepts Based on Temporal Patterns of Terms in Documents

By Hidenao Abe


Open access peer-reviewed

3. Text Clumping for Technical Intelligence

By Alan Porter and Yi Zhang


Open access peer-reviewed

4. A Semantic-Based Framework for Summarization and Page Segmentation in Web Mining

By Alessio Leoncini, Fabio Sangiacomo, Paolo Gastaldo and Rodolfo Zunino


Open access peer-reviewed

5. Ontology Learning Using Word Net Lexical Expansion and Text Mining

By Hiep Luong, Susan Gauch and Qiang Wang


Open access peer-reviewed

6. Automatic Compilation of Travel Information from Texts: A Survey

By Hidetsugu Nanba, Aya Ishino and Toshiyuki Takezawa


Open access peer-reviewed

7. Analyses on Text Data Related to the Safety of Drug Use Based on Text Mining Techniques

By Masaomi Kimura


Open access peer-reviewed

8. Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools

By David Campos, Sérgio Matos and José Luís Oliveira


Open access peer-reviewed

9. Toward Computational Processing of Less Resourced Languages: Primarily Experiments for Moroccan Amazigh Language

By Fadoua Ataa Allah and Siham Boulaknadel


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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