1390 search results - page 3 / 278 » Evaluation of text clustering methods using wordnet |
FLAIRS
2006
14 years 10 months ago
2006
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
SAC
2009
ACM
15 years 4 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
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EMNLP
2006
14 years 10 months ago
2006
Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
KDD
2002
ACM
15 years 9 months ago
2002
ACM
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...