Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman
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...
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| Format: | Thesis |
| Language: | en |
| Published: |
2010
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| Online Access: | https://ir.uitm.edu.my/id/eprint/87191/1/87191.pdf https://ir.uitm.edu.my/id/eprint/87191/ |
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| _version_ | 1833079199901941760 |
|---|---|
| author | Kamaruzaman, Muhd Ruzlan |
| author_facet | Kamaruzaman, Muhd Ruzlan |
| author_sort | Kamaruzaman, Muhd Ruzlan |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Thesis |
| id | my.uitm.ir-87191 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2010 |
| record_format | eprints |
| spelling | my.uitm.ir-871912024-01-30T08:53:16Z https://ir.uitm.edu.my/id/eprint/87191/ Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman Kamaruzaman, Muhd Ruzlan 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. 2010 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/87191/1/87191.pdf Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman. (2010) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
| spellingShingle | Kamaruzaman, Muhd Ruzlan Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman |
| title | Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman |
| title_full | Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman |
| title_fullStr | Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman |
| title_full_unstemmed | Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman |
| title_short | Word stemming for Malay document based retrieval system using Latent Semantic indexing technique / Muhd Ruzlan Kamaruzaman |
| title_sort | word stemming for malay document based retrieval system using latent semantic indexing technique / muhd ruzlan kamaruzaman |
| url | https://ir.uitm.edu.my/id/eprint/87191/1/87191.pdf https://ir.uitm.edu.my/id/eprint/87191/ |
| url_provider | http://ir.uitm.edu.my/ |