Paper: Hierarchical Multi-Label Text Categorization with Global Margin Maximization

ACL ID P09-2042
Title Hierarchical Multi-Label Text Categorization with Global Margin Maximization
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2009
Authors

Text categorization is a crucial and well- proven method for organizing the collec- tion of large scale documents. In this pa- per, we propose a hierarchical multi-class text categorization method with global margin maximization. We not only max- imize the margins among leaf categories, but also maximize the margins among their ancestors. Experiments show that the performance of our algorithm is competi- tive with the recently proposed hierarchi- cal multi-class classification algorithms.