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ACL
2010
15 years 4 months ago
Hunting for the Black Swan: Risk Mining from Text
In the business world, analyzing and dealing with risk permeates all decisions and actions. However, to date, risk identification, the first step in the risk management cycle, has...
Jochen L. Leidner, Frank Schilder
BMCBI
2011
14 years 10 months ago
BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs
Background: The identification of drug characteristics is a clinically important task, but it requires much expert knowledge and consumes substantial resources. We have developed ...
Frank P. Y. Lin, Stephen Anthony, Thomas M. Polase...
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 7 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
ICDE
2005
IEEE
194views Database» more  ICDE 2005»
16 years 8 months ago
Sentiment Mining in WebFountain
WebFountain is a platform for very large-scale text analytics applications that allows uniform access to a wide variety of sources. It enables the deployment of a variety of docum...
Jeonghee Yi, Wayne Niblack
WWW
2008
ACM
16 years 7 months ago
Automatic web image selection with a probabilistic latent topic model
We propose a new method to select relevant images to the given keywords from images gathered from the Web based on the Probabilistic Latent Semantic Analysis (PLSA) model which is...
Keiji Yanai