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Title

Term Weighting Schemes Experiment Based on SVD for Malay Text Retrieval

Author

Nordianah Ab Samat, Masrah Azrifah Azmi Murad, Muhamad Taufik Abdullah, Rodziah Atan

Citation

Vol. 8  No. 10  pp. 357-361

Abstract

The goal in information retrieval is to locate relevant documents in response to a user’s query at the same time retrieving as few as possible of the irrelevant documents. One possible approach to this problem is to use the Singular Value Decomposition (SVD) which models documents and queries as vectors in reduced space. The components of the vector are determined by the term weighting scheme, a function of the frequencies of the terms in the document or query. In this paper, we discuss term weighting schemes and the results from experiment on Malay text retrieval using a set of Malay document collection.

Keywords

Singular Value Decomposition, term weighting, Malay document

URL

http://paper.ijcsns.org/07_book/200810/20081055.pdf