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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 7 months ago
Pragmatic text mining: minimizing human effort to quantify many issues in call logs
George Forman, Evan Kirshenbaum, Jaap Suermondt
BIS
2007
173views Business» more  BIS 2007»
13 years 8 months ago
Natural Language Technology for Information Integration in Business Intelligence
Business intelligence requires the collecting and merging of information from many different sources, both structured and unstructured, in order to analyse for example financial ...
Diana Maynard, Horacio Saggion, Milena Yankova, Ka...
CIKM
2010
Springer
13 years 6 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
IRAL
2003
ACM
14 years 19 days ago
Korean named entity recognition using HMM and CoTraining model
Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on...
Euisok Chung, Yi-Gyu Hwang, Myung-Gil Jang
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
14 years 7 months ago
Deriving marketing intelligence from online discussion
Weblogs and message boards provide online forums for discussion that record the voice of the public. Woven into this mass of discussion is a wide range of opinion and commentary a...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...