| Autor: |
Fitriasari, Novi Sofia, Megasari, Rani, Yuniarsih, Arum |
| Předmět: |
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| Zdroj: |
Pertanika Journal of Social Sciences & Humanities; Nov2017 Special Issue, Vol. 25S, p99-107, 9p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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