177 search results - page 1 / 36 » Categorization using semi-supervised clustering |
121
Voted
ACL
2012
13 years 2 months ago
2012
Aspect extraction is a central problem in sentiment analysis. Current methods either extract aspects without categorizing them, or extract and categorize them using unsupervised t...
136
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WEBI
2005
Springer
15 years 6 months ago
2005
Springer
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
174
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
187
Voted
ICDE
2005
IEEE
16 years 1 months ago
2005
IEEE
108
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LREC
2008
2008
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
15 years 1 months ago
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....