Categorization of Malay documents using latent semantic indexing
Document categorization is a widely researched area of information retrieval. A popular approach to categorize documents is the Vector Space Model (VSM), which represents texts with feature vectors. The categorizing based on the VSM suffers from noise caused by synonymy and polysemy. Thus, an approa...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Universiti Utara Malaysia
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/59725/1/87-91-CR74.pdf http://psasir.upm.edu.my/id/eprint/59725/ |
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