Open access peer-reviewed Edited Volume

Theory and Applications for Advanced Text Mining

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45,818 Chapter Downloads

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Academic Editor

Shigeaki Sakurai
Shigeaki Sakurai

Tokyo Institute of Technology,
Japan

Published21 November 2012

Doi10.5772/3115

ISBN978-953-51-0852-8

eBook (PDF) ISBN978-953-51-5700-7

Copyright year2012

Number of pages228

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Edited Volume and chapters are indexed in

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  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
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Table of Contents

Open access  chapters

1. Survey on Kernel-Based Relation Extraction

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

7,325
1
3. Text Clumping for Technical Intelligence

By Alan Porter and Yi Zhang

4,540
7
4. A Semantic-Based Framework for Summarization and Page Segmentation in Web Mining

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

4,857
1
5,792
6
6. Automatic Compilation of Travel Information from Texts: A Survey

By Hidetsugu Nanba, Aya Ishino and Toshiyuki Takezawa

4,917
1
8. Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools

By David Campos, Sérgio Matos and José Luís Oliveira

5,442
31

IMPACT OF THIS BOOK AND ITS CHAPTERS

45,818 Total Chapter Downloads

4,986 Total Chapter Views

55 Crossref Citations

42 Web of Science Citations

92 Dimensions Citations

36 Altmetric Score

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