Indonesian Document Text Summarization Based on Extractive Using Sentences Scoring and Fuzzy Logic

DOI

10.2991/978-94-6463-480-8_11How to use a DOI?

Keywords

Text Summarization; Sentence Scoring; Fuzzy Logic; Indonesian News Document

Abstract

The large number of text documents available on the internet has resulted in a demand for quick access to get the essence for making decisions based on the available information. One method to overcome this problem is to use text summarization. There are 2 ways to summarize, namely abstractive and extractive. In this study, the extractive method was used to find sentences that were considered important. By using sentence scoring as a sentence weighting feature, the sentences are given weight by paying attention to the features frequency, Uppercase, Proper Noun, Sentence to Sentence Similarity, Numerical Data, Sentence Length, Sentence Position, and Similarity to the Title. Then the fuzzy logic algorithm is used to select words based on the value of the sentence score which creates a total of 6561 rules. Evaluation in this research uses a confusion matrix, using precision, recall and f-measure measurements. In Indonesian CNN data, the evaluation results show an average precision value of 0.581, an average recall of 1.394 and an average f-measure of 0.796. Meanwhile, Indonesian media documents produce an average precision value of 0.481, recall 1.267 and f-measure 0.709.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Basirudin Ansor
AU  - Achmad Solichan
AU  - Muhammad Zainudin Al Amin
AU  - Aditya Putra Ramdani
AU  - Mulil Khaira
AU  - Nova Christina Sari
PY  - 2024
DA  - 2024/07/29
TI  - Indonesian Document Text Summarization Based on Extractive Using Sentences Scoring and Fuzzy Logic
BT  - Proceedings of the 2nd Lawang Sewu Internasional Symposium on Engineering and Applied Sciences (LEWIS-EAS 2023)
PB  - Atlantis Press
SP  - 131
EP  - 146
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-480-8_11
DO  - 10.2991/978-94-6463-480-8_11
ID  - Ansor2024
ER  -