Naive Rule Induction for Text Classification based on Key-phrases
نویسندگان
چکیده
In this paper, we focus on the induction of naive rules for classifying text documents. An algorithm is briefly described for the creation of key-phrases from a given set of documents and these key-phrases are organized and used as features for the automatic classification of new documents. An Authority list of key-phrases is specified by the algorithm containing key-phrases that are frequent within the documents of only one or few classes in the training set. In this framework, this last property permitted us the creation of naive rules that measure the similarity of new documents with the existing classes.
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