Package dragon.ir.classification

A Package for Text Classification; Feature Selection Methods and Evaluation Program are also included.

See:
Description

Interface Summary

Classifier

Interface of Text Classifier

Class Summary

AbstractClassifier	Basic function class for classifying
ClassificationEva	Evaluating classification results
DocClass	The basic data structure for a class for documents
DocClassSet	The basic data structure for a set of classes for documents
LibSVMClassifier	libsvm multi-class text classifier
NBClassifier	Naive Bayesian classifier which uses Laplacian smoothing
NigamActiveLearning	Nigam Active Learning which can utilize unlabeled documents during text classification
SemanticNBClassifier	Naive Bayesian Classifier with Semantic Smoothing or Background Smoothing
SVMLightClassifier	SVM light multi-class text classifier

Package dragon.ir.classification Description

A Package for Text Classification; Feature Selection Methods and Evaluation Program are also included.

Package Specification

All classifiers should implement the interface of Classifier. Besides, the classifier should support the use of different feature selectors. In other words, a user can select different feature selectors without changing the code of the underlying classifier.