DocumentCode
3230715
Title
On Textual Documents Classification Using Fourier Domain Scoring
Author
Pryczek, Michal ; Szczepaniak, Piotr S.
Author_Institution
Inst. of Comput. Sci., Lodz Tech. Univ.
fYear
2006
fDate
18-22 Dec. 2006
Firstpage
773
Lastpage
777
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location
Hong Kong
Print_ISBN
0-7695-2747-7
Type
conf
DOI
10.1109/WI.2006.125
Filename
4061471
Link To Document