Bellman-Ford算法对印尼多篇科学期刊文章进行总结的目的

D. Maylawati, C. Alam, Muhammad Fakhri Muharram, M. Ramdhani, A. S. Amin, H. Aulawi
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引用次数: 1

摘要

文本是当今大数据时代的海量数据类型之一。使用自然语言处理方法,如自动文本摘要,可以将其处理为有价值的信息。本研究的目的是利用图形化的方法对多个文本文档进行自动摘要。本研究采用的图法是Bellman-Ford算法。本研究以印尼语科学期刊文章文献为个案研究对象。本文的研究结果是基于文献综述的逻辑框架和对Bellman-Ford算法的分析。该框架可以在进一步的工作中实现和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Purpose of Bellman-Ford Algorithm to Summarize the Multiple Scientific Indonesian Journal Articles
Text is a one of huge type data in the big data era today. It can be processed to be valuable information with Natural Language Processing approach, such as Automated Text Summarization. This study aims to purpose the text summarization automatically for multiple text documents with graph approach at once. The graph approach that purposed in this research as methodology is Bellman-Ford algorithm. This research uses scientific journal articles documents in Indonesian language as the case study. The result of this research is the logical framework based on literature review ana analysis of Bellman-Ford algorithm for automated text summarization. This framework can be implemented and evaluated in the further works.
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