Categorization of Malay documents using latent semantic indexing

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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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Bibliographic Details
Main Authors:	Ab Samat, Nordianah, Azmi Murad, Masrah Azrifah, Atan, Rodziah, Abdullah, Muhamad Taufik
Format:	Conference or Workshop Item
Language:	English
Published:	Universiti Utara Malaysia 2008
Online Access:	http://psasir.upm.edu.my/id/eprint/59725/ http://psasir.upm.edu.my/id/eprint/59725/1/87-91-CR74.pdf

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