  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.
