Intech - Computer and Information Science - Information and Knowledge Engineering - Theory and Applications for Advanced Text Mining
Edited by Shigeaki Sakurai, ISBN 978-953-51-0852-8, 218 pages, Publisher: InTech, Chapters published November 21, 2012 under CC BY 3.0 license DOI: 10.5772/3115
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.
Just published last year, this free eBook looks interesting (well to me anyway). Most of it is way over my head, but there's enough here that it looks like a good set of reads... Also the WordNet chapter, Ontology Learning Using Word Net Lexical Expansion and Text Mining, caught my eye.
(via KDNuggets - Free Book: Theory and Applications for Advanced Text Mining)
Related Past Post XRef:
WordNet
"Statistical parsing of English sentences"
Feed Stream Analysis - Web Feed/Post Analysis to Group Like/Related Posts
SharpEntropy - Maximum Entropy Modeling
Mix OpenNLP, IKVM.Net and C# and you get some noun phrase and contextual relevance goodness
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