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...

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Detalles Bibliográficos
Publicado en:	Pertanika Journal of Social Sciences & Humanities Vol. 25S; pp. 99 - 108
Autores principales:	Fitriasari, Novi Sofia, Megasari, Rani, Yuniarsih, Arum
Formato:	Artículo
Publicado:	Universiti Putra Malaysia Nov2017 Special Issue
Materias:	Latent semantic analysis Information retrieval Singular value decomposition Stemming (Linguistics) Filtering software
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	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.