Intrinsic Author Identification Using Modified Weighted KNN Notebook for PAN at CLEF 2013
نویسنده
چکیده
In this paper we describe our approach and task for the PAN 2013 Author Identification. Best thing for an intelligent application is a large corpus, but when it is small, it would be helpful to extract many features from dataset and study on them. So, we extract many features from documents like: word bag, stop word bag, punctuation bag, part of speech (POS) bag and etc. It is so important that you select proper features for your learning algorithm; therefore, we decide to learn proper features too. Next, we identify author using a modified weighted KNN since it can have a good performance for a small corpus.
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