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FINTAL
2006
13 years 11 months ago
Selection Strategies for Multi-label Text Categorization
In multi-label text categorization, determining the final set of classes that will label a given document is not trivial. It implies first to determine whether a class is suitable ...
Arturo Montejo Ráez, Luis Alfonso Ure&ntild...
FLAIRS
2001
13 years 8 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
SEMCO
2008
IEEE
14 years 1 months ago
Text Categorization Based on Boosting Association Rules
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
Yongwook Yoon, Gary Geunbae Lee
DMIN
2008
134views Data Mining» more  DMIN 2008»
13 years 8 months ago
Political Leaning Categorization by Exploring Subjectivities in Political Blogs
This paper addresses a relatively new text categorization problem: classifying a political blog as either `liberal' or `conservative', based on its political leaning. Ins...
Maojin Jiang, Shlomo Argamon
WCE
2007
13 years 8 months ago
A Comparison of Classification Techniques for Technical Text Passages
— Our work explores the use of several text categorization techniques for classification of manufacturing quality defect and service shop data sets into fixed categories. Althoug...
Mark M. Kornfein, Helena Goldfarb