Lexical Chains as Document Features

Document clustering and classification is usually done by representing the documents using a bag of words scheme. This scheme ignores many of the linguistic and semantic features contained in text documents. We propose here an alternative representation for documents using Lexical Chains. We compare the performance of the new representation against the old one on a clustering task. We show that Lexical Chain based features give better results than the Bag of Words based features, while achieving almost 30% reduction in the dimensionality of the feature vectors resulting in faster execution of the algorithms.