Wavelet-based hierarchical document categorization

A multiresolution method based wavelet is purposed for hierarchical document categorization. Multi-level wavelet decomposition of document vectors is regarded as a feature selection process. The traditional vector space model in document representation is reorganized by hierarchical conceptual-semantic relation of the words. The multiresolution wavelet coefficients of reordered vectors reflect the characteristics of the document category in hierarchy. At different levels of category, corresponding resolution wavelet coefficients are used to classify. The computational complexity of classification is reduced and better performance is obtained.