177 search results - page 1 / 36 » Categorization using semi-supervised clustering |
ACL
2012
11 years 7 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...
WEBI
2005
Springer
13 years 10 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...
CVPR
2009
IEEE
15 years 2 days 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...
ICDE
2005
IEEE
14 years 6 months ago
2005
IEEE
LREC
2008
2008
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
13 years 6 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....