SMC
2010
IEEE
13 years 2 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
13 years 4 months 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
13 years 4 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 ...
IAJIT
2008
13 years 4 months 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
13 years 5 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
13 years 6 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...