Sciweavers

1390 search results - page 38 / 278
» Evaluation of text clustering methods using wordnet
Sort
View
DBISP2P
2008
Springer
124views Database» more  DBISP2P 2008»
14 years 11 months ago
Exploiting Distribution Skew for Scalable P2P Text Clustering
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
Odysseas Papapetrou, Wolf Siberski, Fabian Leitrit...
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
15 years 2 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
ACL
2008
14 years 11 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...
IPM
2007
143views more  IPM 2007»
14 years 9 months ago
QCS: A system for querying, clustering and summarizing documents
Information retrieval systems consist of many complicated components. Research and development of such systems is often hampered by the difficulty in evaluating how each particula...
Daniel M. Dunlavy, Dianne P. O'Leary, John M. Conr...
EMNLP
2008
14 years 11 months ago
One-Class Clustering in the Text Domain
Having seen a news title "Alba denies wedding reports", how do we infer that it is primarily about Jessica Alba, rather than about weddings or reports? We probably reali...
Ron Bekkerman, Koby Crammer