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» Sampling the Web as Training Data for Text Classification
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WWW
2009
ACM
16 years 3 months ago
A class-feature-centroid classifier for text categorization
Automated text categorization is an important technique for many web applications, such as document indexing, document filtering, and cataloging web resources. Many different appr...
Hu Guan, Jingyu Zhou, Minyi Guo
CIT
2005
Springer
15 years 2 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
CIARP
2007
Springer
15 years 7 months ago
Information Extraction and Classification from Free Text Using a Neural Approach
Many approaches to Information Extraction (IE) have been proposed in literature capable of finding and extract specific facts in relatively unstructured documents. Their applicatio...
Ignazio Gallo, Elisabetta Binaghi
TIT
2010
118views Education» more  TIT 2010»
14 years 9 months ago
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dou...
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 3 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler