Term weighting schemes experiment based on SVD for Malay text retrieval.
Summary 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 q...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Journal of Computer Science and Network Security (IJCSNS)
2008
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/16989/ |
| _version_ | 1848843115413110784 |
|---|---|
| author | Samat, Nordianah Azmi Murad, Masrah Azrifah Abdullah, Muhamad Taufik Atan, Rodziah |
| author_facet | Samat, Nordianah Azmi Murad, Masrah Azrifah Abdullah, Muhamad Taufik Atan, Rodziah |
| author_sort | Samat, Nordianah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Summary 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. |
| first_indexed | 2025-11-15T08:09:54Z |
| format | Article |
| id | upm-16989 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:09:54Z |
| publishDate | 2008 |
| publisher | International Journal of Computer Science and Network Security (IJCSNS) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-169892014-02-11T08:52:34Z http://psasir.upm.edu.my/id/eprint/16989/ Term weighting schemes experiment based on SVD for Malay text retrieval. Samat, Nordianah Azmi Murad, Masrah Azrifah Abdullah, Muhamad Taufik Atan, Rodziah Summary 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. International Journal of Computer Science and Network Security (IJCSNS) 2008-10 Article PeerReviewed Samat, Nordianah and Azmi Murad, Masrah Azrifah and Abdullah, Muhamad Taufik and Atan, Rodziah (2008) Term weighting schemes experiment based on SVD for Malay text retrieval. International Journal of Computer Science and Network Security, 8 (10). pp. 357-361. ISSN 1738-7906 http://ijcsns.org/ English |
| spellingShingle | Samat, Nordianah Azmi Murad, Masrah Azrifah Abdullah, Muhamad Taufik Atan, Rodziah Term weighting schemes experiment based on SVD for Malay text retrieval. |
| title | Term weighting schemes experiment based on SVD for Malay text retrieval. |
| title_full | Term weighting schemes experiment based on SVD for Malay text retrieval. |
| title_fullStr | Term weighting schemes experiment based on SVD for Malay text retrieval. |
| title_full_unstemmed | Term weighting schemes experiment based on SVD for Malay text retrieval. |
| title_short | Term weighting schemes experiment based on SVD for Malay text retrieval. |
| title_sort | term weighting schemes experiment based on svd for malay text retrieval. |
| url | http://psasir.upm.edu.my/id/eprint/16989/ http://psasir.upm.edu.my/id/eprint/16989/ |