Implementasi Metode Latent Semantic Analysis Pada Peringkasan Artikel Bahasa Indonesia Menggunakan Pendekatan Steinberger Jezek
DOI:
https://doi.org/10.30865/jurikom.v9i4.4620Keywords:
Summary, Latent Semantic Analysis, SVD, News Article, Steinberger and JezekAbstract
Currently, various types of news media that are developing have their own challenges, one of them is the increasing number of digital or online media. The increasing number of digital media in the form of online news sites not only has a positive impact on society, but also poses challenges. The more the number of online news portals increases, the more information is spread out. With a variety of topics and diverse information, it creates problems for readers to make time efficient in reading in full to obtain the desired information. This makes the phenomenon of text summarization very important. The purpose of this study is to analyze the Latent Semantic Analysis method in the text summarization process. The dataset used comes from previous research which includes 100 Indonesian news articles from various online news portals. In the experiment process, the Steinberger and Jezek techniques are used for the sentence selection process. The summary process is carried out using three types of compression rates, namely 10%, 30% and 50%. The best results obtained in this study are the precision value of 20% at a 10% compression rate, a recall value of 42% at a 50% compression rate, and an f-measure value of 22% at a 50% compression rate.
References
M. Tanikawa, “What is news? What is the newspaper? The physical, functional, and stylistic transformation of print newspapers, 1988-2013,†International Journal of Communication, vol. 11, no. September 2017, pp. 3519–3540, 2017.
R. Indrianto, M. A. Fauzi, and L. Muflikhah, “Peringkasan Teks Otomatis Pada Artikel Berita Kesehatan Menggunakan K-Nearest Neighbor Berbasis Fitur Statistik,†Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya, vol. 1, no. 11, pp. 1–6, 2017.
M. Allahyari et al., “Text Summarization Techniques: A Brief Survey,†International Journal of Advanced Computer Science and Applications, vol. 8, no. 10, 2017.
E. Lloret, “TEXT SUMMARIZATION : AN,†Paper supported by the Spanish Government under the project TEXT-MESS (TIN2006-15265-C06-01)., 2008.
H. Zhang, Z. C. W. Ma, and Q. Cai, “A study for documents summarization based on personal annotation,†in HLTNAACL 2003 Workshop: Text Summarization (DUC03), 2003, pp. 41–48.
Silvia, P. Rukmana, and V. R. Aprilia, “APLIKASI AUTOMATIC TEXT.†pp. 1–7, 2010.
R. Bhargava, Y. Sharma, and G. Sharma, “ATSSI: Abstractive Text Summarization Using Sentiment Infusion,†in Procedia Computer Science, 2016, vol. 89, pp. 404–411.
A. P. Widyassari et al., “Review of automatic text summarization techniques & methods,†Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 4, pp. 1029–1046, 2022.
J.-M. T. Moreno, Automatic Text Summarization, 1ST ed. London: Wiley-ISTE, 2014.
R. Alguliyev and R. Aliguliyev, “Evolutionary Algorithm for Extractive Text Summarization,†Intelligent Information Management, vol. 1, pp. 128–138, 2009.
M. G. Ozsoy, F. N. Alpaslan, and I. Cicekli, “Text summarization using latent semantic analysis,†Journal of Information Science, vol. 37, no. 4, pp. 405–417, 2011.
F. E. Gunawan, A. V. Juandi, and B. Soewito, “An automatic text summarization using text features and singular value decomposition for popular articles in Indonesia language,†in 2015 International Seminar on Intelligent Technology and Its Applications, ISITIA 2015 - Proceeding, 2015, pp. 27–32.
D. Oluwajana and E. Celebi, “Single-Document Summarization Using Latent Semantic Analysis,†International Journal of Scientific Research in Information Systems and Engineering (IJSRISE), vol. 1, no. 2, 2018.
L. Koesten, E. Simperl, T. Blount, E. Kacprzak, and J. Tennison, “Everything you always wanted to know about a dataset: Studies in data summarisation,†International Journal of Human Computer Studies, vol. 135, no. October 2018, p. 102367, 2020.
Juwito, Menulis Berita dan Feature. Surabaya: Unesa University Press, 2008.
K. Kurniawan and S. Louvan, “INDOSUM: A New Benchmark Dataset for Indonesian Text Summarization,†in International Conference on Asian Language Processing (IALP) Authors:, 2018.
P. M. Sabuna and D. B. Setyohadi, “Summarizing Indonesian Text Automatically By Using Sentence Scoring And Decision Tree,†in International Conference of Information Technology, Information Systems and Electrical Engineering, 2017.
M. A. Zamzam, “Sistem Automatic Text Summarization Menggunakan Algoritma Textrank,†Matics, vol. 12, no. 2, pp. 111–116, 2020.
K. Al-Sabahi, Z. Zuping, and Y. Kang, “Latent Semantic Analysis Approach for Document Summarization Based on Word Embeddings.†2018.
N. Derbentseva, P. J. Kwantes, and P. Terhaar, “Latent Semantic Analysis ( LSA ) tools Latent Semantic Analysis ( LSA ) tools Defence R & D Canada – Toronto,†no. July. 2012.
S. A. Babar and P. D. Patil, “Improving performance of text summarization,†Procedia Computer Science, vol. 46, no. Icict 2014, pp. 354–363, 2015.
R. M. Badry, A. S. Eldin, and D. S. Elzanfally, “Text Summarization within the Latent Semantic Analysis Framework : Comparative Study,†International Journal of Computer Application, vol. 81, no. 11, pp. 40–45, 2013.
S. Gholamrezazadeh, M. A. Salehi, and B. Gholamzadeh, “A comprehensive survey on text summarization systems,†in Proceedings of the 2009 2nd International Conference on Computer Science and Its Applications, CSA 2009, 2009, pp. 1–6.
