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» Joins that Generalize: Text Classification Using WHIRL
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SIGIR
2008
ACM
13 years 7 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
AMT
2006
Springer
147views Multimedia» more  AMT 2006»
13 years 11 months ago
Semi-Supervised Text Classification Using Positive and Unlabeled Data
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
Shuang Yu, Xueyuan Zhou, Chunping Li
SIGIR
2010
ACM
13 years 11 months ago
Short text classification in twitter to improve information filtering
In microblogging services such as Twitter, the users may become overwhelmed by the raw data. One solution to this problem is the classification of short text messages. As short te...
Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Fer...
WWW
2004
ACM
14 years 8 months ago
Liveclassifier: creating hierarchical text classifiers through web corpora
Many Web information services utilize techniques of information extraction (IE) to collect important facts from the Web. To create more advanced services, one possible method is t...
Chien-Chung Huang, Shui-Lung Chuang, Lee-Feng Chie...
AUSAI
2001
Springer
13 years 11 months ago
Fast Text Classification Using Sequential Sampling Processes
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...
Michael D. Lee