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» Learning to Classify Texts Using Positive and Unlabeled Data
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IJCAI
2007
13 years 9 months ago
Inferring Long-term User Properties Based on Users' Location History
Recent development of location technologies enables us to obtain the location history of users. This paper proposes a new method to infer users’ longterm properties from their r...
Yutaka Matsuo, Naoaki Okazaki, Kiyoshi Izumi, Yosh...
KDD
2009
ACM
211views Data Mining» more  KDD 2009»
14 years 8 months ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
GEM
2008
13 years 9 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk
LREC
2008
143views Education» more  LREC 2008»
13 years 9 months ago
Building Affective Lexicons from Specific Corpora for Automatic Sentiment Analysis
Automatic sentiment analysis in texts has attracted considerable attention in recent years. Most of the approaches developed to classify texts or sentences as positive or negative...
Yves Bestgen
CORR
2002
Springer
142views Education» more  CORR 2002»
13 years 7 months ago
Learning Algorithms for Keyphrase Extraction
Many academic journals ask their authors to provide a list of about five to fifteen keywords, to appear on the first page of each article. Since these key words are often phrases ...
Peter D. Turney