SIGIR
2008
ACM
13 years 11 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 ...
IIS
2003
14 years 27 days ago
2003
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
LREC
2008
14 years 29 days ago
2008
Open answers in questionnaires contain valuable information that is very time-consuming to analyze manually. We present a method for hypothesis generation from questionnaires base...
LREC
2010
14 years 29 days ago
2010
Text clustering is potentially very useful for exploration of text sets that are too large to study manually. The success of such a tool depends on whether the results can be expl...
ECIR
2010
Springer
14 years 29 days ago
2010
Springer
Text clustering is an established technique for improving quality in information retrieval, for both centralized and distributed environments. However, for highly distributed envir...
CHI
1998
ACM
14 years 3 months ago
1998
ACM
Designers and researchers of human-computer interaction need tools that permit the rapid exploration and management of hypotheses about complex interactions of designs, task condi...
ICML
2003
IEEE
14 years 4 months ago
2003
IEEE
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
SIGIR
2006
ACM
14 years 5 months ago
2006
ACM
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...