Free Book: Theory and Applications for Advanced Text Mining

Theory and Applications for
Advanced Text Mining,
Open Access Book

Edited by Shigeaki Sakurai, ISBN 978-953-51-0852-8, 218 pages,
Publisher: InTech, Published November 2012 under CC BY 3.0 license
DOI: 10.5772/3115

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.

The book Editor, Prof. Shigeaki Sakurai is a visiting professor at Tokyo Institute of Technology, Japan, and is also with Corporate Research & Development Center, Toshiba Corporation.

Book chapters include:

• Survey on Kernel-Based Relation Extraction
  by Hanmin Jung, Sung-Pil Choi, Seungwoo Lee and Sa-Kwang Song
• Analysis for Finding Innovative Concepts Based on Temporal Patterns of Terms in Documents
  by Hidenao Abe
• Text Clumping for Technical Intelligence
  by Alan Porter and Yi Zhang
• A Semantic-Based Framework for Summarization and Page Segmentation in Web Mining
  by Alessio Leoncini, Fabio Sangiacomo, Paolo Gastaldo and Rodolfo Zunino
• Ontology Learning Using Word Net Lexical Expansion and Text Mining
  by Hiep Luong, Susan Gauch and Qiang Wang
• Automatic Compilation of Travel Information from Texts: A Survey
  by Hidetsugu Nanba, Aya Ishino and Toshiyuki Takezawa
• Analyses on Text Data Related to the Safety of Drug Use Based on Text Mining Techniques
  by Masaomi Kimura
• Biomedical Named Entity Recognition: A Survey of Machine-Learning Tools
  by David Campos, Sergio Matos and Jose Luis Oliveira
• Toward Computational Processing of Less Resourced Languages: Primarily Experiments for Moroccan Amazigh Language
  by Fadoua Ataa Allah and Siham Boulaknadel

Download the book or the chapters at

www.intechopen.com/books/theory-and-applications-for-advanced-text-mining