Theory and Applications for Advanced Text Mining
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.
Tag(s): Data Mining Machine Learning
Publication date: 21 Nov 2012
ISBN-10: n/a
ISBN-13: 9789535108528
Paperback: 226 pages
Views: 9,601
Type: N/A
Publisher: InTech
License: Creative Commons Attribution 3.0 Unported
Post time: 13 Jun 2016 08:58:12
Theory and Applications for Advanced Text Mining
Shigeaki Sakurai wrote: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.
About The Editor(s)
Shigeaki Sakurai is a Visiting Professor in the Department of Computational Intelligence and Systems Science at Tokyo Institute of Technology. His research interests are data mining, machine learning, and soft computing.
Shigeaki Sakurai is a Visiting Professor in the Department of Computational Intelligence and Systems Science at Tokyo Institute of Technology. His research interests are data mining, machine learning, and soft computing.