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» Text classification from positive and unlabeled documents
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CIT
2005
Springer
13 years 8 months ago
Simple Classification into Large Topic Ontology of Web Documents
The paper presents an approach to classifying Web documents into large topic ontology. The main emphasis is on having a simple approach appropriate for handling a large ontology an...
Marko Grobelnik, Dunja Mladenic
SIGIR
2010
ACM
14 years 6 days ago
Combining coregularization and consensus-based self-training for multilingual text categorization
We investigate the problem of learning document classifiers in a multilingual setting, from collections where labels are only partially available. We address this problem in the ...
Massih-Reza Amini, Cyril Goutte, Nicolas Usunier
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 9 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
ICDAR
2003
IEEE
14 years 1 months ago
Document page similarity based on layout visual saliency: Application to query by example and document classification
In this paper we propose to define a measure of visual similarity to compare different pages in a corpus. This measure is based on the analysis of the visual layout saliency of th...
Véronique Eglin, Stéphane Bres
DAWAK
2008
Springer
13 years 10 months ago
Document-Base Extraction for Single-Label Text Classification
Many text mining applications, especially when investigating Text Classification (TC), require experiments to be performed using common textcollections, such that results can be co...
Yanbo J. Wang, Robert Sanderson, Frans Coenen, Pau...