Extractive Text Summarization for Indonesian News Article Using Ant System Algorithm

IF 0.9 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
A. S. Girsang, Fransisco Junius Amadeus
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引用次数: 5

Abstract

—The act of simplifying a text from its original source is known as text summarization. Instead of capturing the substance of the original content, an effective summary should be able to convey the information. Recent research on this form of extractive summarization has produced encouraging findings. A graphical model and a modified ant system method will be combined in this literature to provide a solution. The pheromone modification will decide which pertinent phrases will be selected to be a decent summary structure, while the modification process will focus on the point at which the graph construction will be built to represent an article. Additionally, a dataset (Indosum) including news stories that are often utilized in relevant research will be used in accordance to the summary in Indonesian. In addition, the ROUGE approach will be utilized as a tool for evaluation to rate the summary’s quality. Finally, this paper concludes with the challenges and future directions of text summarization.
基于蚁群算法的印尼语新闻文章提取摘要
从原文中简化文本的行为被称为文本摘要。有效的摘要应该能够传达信息,而不是捕捉原始内容的实质。最近对这种形式的摘录摘要的研究产生了令人鼓舞的发现。本文将结合图形模型和改进的蚂蚁系统方法来提供解决方案。信息素修改将决定选择哪些相关短语作为体面的摘要结构,而修改过程将集中在构建图结构以表示文章的点上。此外,一个数据集(Indosum),包括经常在相关研究中使用的新闻故事,将根据印尼摘要使用。此外,ROUGE方法将被用作评价摘要质量的工具。最后,本文总结了文本摘要面临的挑战和未来的发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Advances in Information Technology
Journal of Advances in Information Technology Computer Science-Information Systems
CiteScore
4.20
自引率
20.00%
发文量
46
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