SMC
2010
IEEE
13 years 10 months ago
2010
IEEE
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
COLING
2002
14 years 8 days ago
2002
Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content w...
SIGIR
2008
ACM
14 years 11 days 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 ...
IAJIT
2008
14 years 15 days ago
2008
: This paper explores a method that use WordNet concept to categorize text documents. The bag of words representation used for text representation is unsatisfactory as it ignores p...
DMIN
2006
14 years 1 months ago
2006
Text classification in the medical domain is a real world problem with wide applicability. This paper investigates extensively the effect of text representation approaches on the p...
SDM
2007
SIAM
14 years 1 months ago
2007
SIAM
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...