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