Multiaspect Text Categorization Problem Solving : a Nearest Neighbours Classifier Based Approaches and Beyond

We deal with the problem of the multiaspect text categorization which calls for the classification of the documents with respect to two, in a sense, orthogonal sets of categories. We briefly define the problem, mainly referring to our previous work, and study the application of the k- nearest neighbours algorithm. We propose a new technique meant to enhance the effectiveness of this algorithm when applied to the problem in question. We show some experimental results confirming usefulness of the proposed approach.