On Textual Documents Classification Using Fourier Domain Scoring

Recently, Fourier and cosine discrete transformations have been proposed for textual document ranking. The advantage of the methods is that not only the count of a frequency term within documents used; the spatial information about presence of the term is also considered. Here, this novel approach is used to improve performance of classifiers