Theory and Applications for Advanced Text Mining

Theory and Applications for Advanced Text Mining edited by Shigeaki Sakurai.

From the post:

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:

Is it just me or have more data mining/analysis books been appearing as open texts alongside traditional print publication? Than say five years ago?

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