The Implementation of Latent Semantic Indexing on Knowledge Retrieval Process in Knowledge Management System Development.
This study examines Latent Semantic indexing (LSI) using Singular Value Decomposition (SVD) in the knowledge retrieval process, namely indexing Indonesian text. There are three stages in this process: (1) text processing, which consists of tokenisation, filtering and stemming process, (2) developing...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 25S; pp. 99 - 108 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Universiti Putra Malaysia
Nov2017 Special Issue
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=128930431&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 128930431 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: Nov2017 Special Issue vid: 25S pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 128930431 ppf: 99 ppct: 9 formats: fmt: @attributes: type: P size: 3.4MB tig: atl: The Implementation of Latent Semantic Indexing on Knowledge Retrieval Process in Knowledge Management System Development. aug: au: Fitriasari, Novi Sofia Megasari, Rani Yuniarsih, Arum affil: Departemen Pendidikan limit Komputer, Universitas Pendidikan Indonesia, Jl. Dr.Setiabudhi Nomor 229 Bandung 40154, Indonesia su: Latent semantic analysis Information retrieval Singular value decomposition Stemming (Linguistics) Filtering software sug: subj: Latent semantic analysis Information retrieval Singular value decomposition Stemming (Linguistics) Filtering software keyword: Knowledge Retrieval LSI SVD ab: This study examines Latent Semantic indexing (LSI) using Singular Value Decomposition (SVD) in the knowledge retrieval process, namely indexing Indonesian text. There are three stages in this process: (1) text processing, which consists of tokenisation, filtering and stemming process, (2) developing LSI using SVD and (3) evaluating and measuring performance. The result showed Mean Average Precision around 77.90% on scenario matrix dimension 120 and average precision for first retrieval around 83.33% on scenario matrix dimension 90. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2017 holdings: @attributes: islocal: N |
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