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All Journal International Journal of Electrical and Computer Engineering JOIV : International Journal on Informatics Visualization Jiko (Jurnal Informatika dan komputer) JISKa (Jurnal Informatika Sunan Kalijaga) Khazanah Pendidikan Islam International Journal of Islamic Khazanah Journal of Applied Data Sciences Jurnal Algoritma Jurnal Informatika Polinema (JIP)
Maylawati, Dian Sa'adillah
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

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Deep sequential pattern mining for readability enhancement of Indonesian summarization Maylawati, Dian Sa'adillah; Kumar, Yogan Jaya; Kasmin, Fauziah; Ramdhani, Muhammad Ali
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i1.pp782-795

Abstract

In text summarization research, readability is a great issue that must be addressed. Our hypothesis is readability can be accomplished by using text representations that keep the meaning of text documents intact. Therefore, this study aims to combine sequential pattern mining (SPM) in producing a sequence of a word as text representation with unsupervised deep learning to produce an Indonesian text summary called DeepSPM. This research uses PrefixSpan as an SPM algorithm and deep belief network (DBN) as an unsupervised deep learning method. This research uses 18,774 Indonesian news text from IndoSum. The readability aspect is evaluated by recall-oriented understudy for gisting evaluation (ROUGE) as a co-selection-based analysis; Dwiyanto Djoko Pranowo metrics, Gunning fog index (GFI), and Flesch-Kincaid grade level (FKGL) as content-based analysis; and human readability evaluation with two experts. The experiment result shows that DeepSPM yields better than DBN, with the F-measure value of ROUGE-1 enhanced to 0.462, ROUGE-2 is 0.37, and ROUGE-L is 0.41. The significance of ROUGE results also be tested using T-Test. The content-based analysis and human readability evaluation findings are conformable with the findings of co-selection-based analysis that generated summaries are only partially readable or have a medium level of readability aspect.
Co-Authors Barzan Faizin Diena Rauda Ramdania Enjang AS, Enjang Fatonah, Fany Risti Fitri, Susanti Ainul Hartawan, Gaduh Herdiyanto, Reza Fahlevi Ichsan Budiman Kasmin, Fauziah Kholiq, Achmad Khosyi'ah, Siah Kumar, Yogan Jaya Mi’raj Fuadi Muhammad Ali Ramdhani Muhammad Insan Al-Amin Muharam, Aldi Fahluzi Nur Lukman Nurlatifah, Eva Rahman, Titik Khawa Abdul Rizqullah, Naufal Rohmat Mulyana Sapdi Saputra, Muhammad Indra Nurardy Syahrifudin, Umar Wisnu Uriawan, Wisnu Yana Aditia Gerhana, Yana Aditia