Authors:

Made Dwiki Budi Laksana, AAIN Eka Karyawati, Luh Arida Ayu Rahning Putri, I Wayan Santiyasa, Ngurah Agus Sanjaya ER, I Gusti Agung Gede Arya Kadnyanan

Abstract:

“Text summarization or automatic text summarization can make readers receive information quickly without having to read the entire news text, so readers can get more time in reading other news texts. Making text summarization can use two techniques, namely, extractive and abstractive techniques. Abstractive techniques have the aim of producing summary sentences with concepts as humans take the essence of a document that is read. In this study, the author builds an abstractive summarization model using the Dual Encoding method consisting of GRU. The evaluation was carried out using K- Fold Cross Validation, the number of folds used was 5. By using K-Fold Cross Validation, the ROUGE- 1, ROUGE-2, and ROUGE-L values were 0.2127749, 0.119851, dan 0.1880595, respectively. For testing when using new data ROUGE-1, ROUGE-2, and ROUGE-L values were 0.3387776, 0.2395176, dan 0.3077376, respectively.”

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PDF:

https://jurnal.harianregional.com/jlk/full-88911

Published

2022-07-14

How To Cite

LAKSANA, Made Dwiki Budi et al. Text Summarization terhadap Berita Bahasa Indonesia menggunakan Dual Encoding.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 11, n. 2, p. 339-348, july 2022. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/88911. Date accessed: 08 Jul. 2024. doi:https://doi.org/10.24843/JLK.2022.v11.i02.p13.

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Issue

Vol 11 No 2 (2022): JELIKU Volume 11 No 2, November 2022

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License