Text Classification Using Association Rules, Dependency Pruning and   Hyperonymization
  We present new methods for pruning and enhancing item- sets for text classification via association rule mining. Pruning methods are based on dependency syntax and enhancing methods are based on replacing words by their hyperonyms of various orders. We discuss the impact of these methods, compared to pruning based on tfidf rank of words. 
Yannis Haralambous and Philippe Lenca
cs.IR cs.CL