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» Sampling the Web as Training Data for Text Classification
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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 7 days ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
CIKM
2008
Springer
15 years 1 months ago
Web-scale named entity recognition
Automatic recognition of named entities such as people, places, organizations, books, and movies across the entire web presents a number of challenges, both of scale and scope. Da...
Casey Whitelaw, Alexander Kehlenbeck, Nemanja Petr...
WWW
2004
ACM
16 years 11 days ago
Liveclassifier: creating hierarchical text classifiers through web corpora
Many Web information services utilize techniques of information extraction (IE) to collect important facts from the Web. To create more advanced services, one possible method is t...
Chien-Chung Huang, Shui-Lung Chuang, Lee-Feng Chie...
SDM
2010
SIAM
226views Data Mining» more  SDM 2010»
15 years 1 months ago
Two-View Transductive Support Vector Machines
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
15 years 1 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak