30 search results - page 1 / 6 » Enhancing text clustering by leveraging Wikipedia semantics |
SIGIR
2008
ACM
13 years 7 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 ...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this pape...
ACL
2009
13 years 5 months ago
2009
This paper presents an unsupervised relation extraction method for discovering and enhancing relations in which a specified concept in Wikipedia participates. Using respective cha...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...