Hierarchical document categorization with support vector machines

  title={Hierarchical document categorization with support vector machines},
  author={Lijuan Cai and Thomas Hofmann},
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques like Support Vector Machines and related large margin methods have been successfully applied for this task, albeit the fact that they ignore the inter-class relationships. In this paper, we propose a novel hierarchical classification method that generalizes Support Vector Machine learning and that is based on… CONTINUE READING
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