Text Classification Using Association Rules, Dependency Pruning and Hyperonymization
Table 1: Tfidf-based pruning, keeping a single word per transaction
['[EMPTY]', 'E12', 'GCRIM', 'GDIP', 'GJOB', 'GPOL', 'GSPO', 'GVIO', 'AVG']
Furthermore, each investigated method will generate transactions of various sizes. It is fair to compare them with tfidf-based methods with similar transactions sizes. Therefore we will use the results displayed in Fig.