Kamaruzaman, Muhd Ruzlan
(2010)
Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman.
Degree thesis, Universiti Teknologi MARA (UiTM).
Abstract
Documents retrieval in Information Retrieval Systems (IRS) is generally about understanding of information in the documents concern. The more the system able to understand the contents of documents the more effective will be the retrieval outcomes. But understanding of the contents is a very complex task. Conventional IRS applies algorithms that can only approximate the meaning of document contents through keywords approach using Latent Semantic indexing. In information retrieval, a text operation is called indexing is applied to the documents need to be retrieved, in order to aid with the retrieval process by making it easier to search through the documents available.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Kamaruzaman, Muhd Ruzlan UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Mohamed Hanum, Haslizatul Fairuz UNSPECIFIED |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons) Computer Science |
Keywords: | Documents, semantic indexing technique, system |
Date: | 2010 |
URI: | https://ir.uitm.edu.my/id/eprint/87191 |
Download
Text
87191.pdf
Download (5MB)
87191.pdf
Download (5MB)
Digital Copy
Digital (fulltext) is available at:
Physical Copy
Physical status and holdings:
Item Status:
On Shelf