523 search results - page 8 / 105 » Metric Learning for Text Documents |
110
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ICDM
2009
IEEE
14 years 9 months ago
2009
IEEE
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
NAACL
2003
15 years 21 days ago
2003
We present a novel system for automatically marking up text documents into XML and discuss the benefits of XML markup for intelligent information retrieval. The system uses the Se...
RIAO
2007
15 years 23 days ago
2007
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
KDD
2002
ACM
15 years 11 months ago
2002
ACM
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
107
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SAC
2006
ACM
15 years 5 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...