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AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 1 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
FLAIRS
2006
14 years 11 months ago
Evaluating WordNet Features in Text Classification Models
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
Trevor N. Mansuy, Robert J. Hilderman
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
CSDA
2006
85views more  CSDA 2006»
14 years 9 months ago
Two-way Poisson mixture models for simultaneous document classification and word clustering
An approach to simultaneous document classification and word clustering is developed using a two-way mixture model of Poisson distributions. Each document is represented by a vect...
Jia Li, Hongyuan Zha
IBPRIA
2009
Springer
15 years 1 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...