Title :
On Textual Documents Classification Using Fourier Domain Scoring
Author :
Pryczek, Michal ; Szczepaniak, Piotr S.
Author_Institution :
Inst. of Comput. Sci., Lodz Tech. Univ.
Abstract :
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
Keywords :
classification; discrete Fourier transforms; discrete cosine transforms; information retrieval; text analysis; Fourier discrete transformation; Fourier domain scoring; cosine discrete transformation; information retrieval; textual document classification; textual document ranking; Computational efficiency; Computer science; Data mining; Discrete transforms; Frequency; Information retrieval; Kernel; Performance evaluation; Shape; Text categorization; Information retrieval; discrete transforms; spatial information.; text classification; text representation; word signal;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
DOI :
10.1109/WI.2006.125
