TY  - CHAP
AU  - Alan Porter
AU  - Yi Zhang
ED  - Shigeaki Sakurai
Y1  - 2012-11-21
PY  - 2012
T1  - Text Clumping for Technical Intelligence
N2  - 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.
BT  - Theory and Applications for Advanced Text Mining
SP  - Ch. 3
UR  - https://doi.org/10.5772/50973
DO  - 10.5772/50973
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-26
ER  -