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107
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BIS
2007
173views Business» more  BIS 2007»
15 years 1 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...
93
Voted
CIKM
2010
Springer
14 years 10 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...
95
Voted
IRAL
2003
ACM
15 years 4 months 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
92
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KDD
2005
ACM
171views Data Mining» more  KDD 2005»
16 years 2 days 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...