Hybrid LexRank-LDA-MMR for Indonesian Text Summarization
The rapid growth of digital text information makes it crystal clear that there is a need for automated tools that summarize text for rapid retrieval. Extractive methods employed include LexRank, Latent Dirichlet Allocation (LDA), and Maximal Marginal Relevance (MMR), and the study aimed at enhancin...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Departemen Sistem Informasi, Universitas Andalas
2026-05-01
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| Collection: | Jurnal Teknologi dan Sistem Informasi |
| Sujets: | |
| Accès en ligne: | https://teknosi.fti.unand.ac.id/index.php/teknosi/article/view/3179 |
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