Theory and Applications for Advanced Text Mining

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.

Publication date: 21 Nov 2012

ISBN-10: n/a

ISBN-13: 9789535108528

Paperback: 226 pages

Views: 3,197

Type: N/A

Publisher: InTech

License: Creative Commons Attribution 3.0 Unported

Post time: 13 Jun 2016 07:58:12

Theory and Applications for Advanced Text Mining

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: 3,197
Document Type: N/A
Publisher: InTech
License: Creative Commons Attribution 3.0 Unported
Post time: 13 Jun 2016 07:58:12
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution 3.0 Unported:
You are free to:

Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially.

The licensor cannot revoke these freedoms as long as you follow the license terms.

Click here to read the full license.
From the Introduction:
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

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.

 


Book Categories
Sponsors
Icons8, a free icon pack