Ufil
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摘要

犯罪新闻的强度相对较高,使公众熟悉从腐败,毒品,赌博,不道德行为,盗窃,欺诈,绑架到谋杀的刑事案件。媒体不仅报道或通报发生的犯罪行为,而且媒体还充当社会控制的工具。目前,许多新闻网站提供与事件和现象相关的信息。另一方面,新冠肺炎疫情也带来了多方面的危机和问题。其中之一是社区犯罪的出现。本研究旨在收集新闻网站在Covid-19大流行期间的刑事新闻。根据新冠疫情在印尼的发展方向,可以分析犯罪事件趋势的可能性。本研究使用的新闻网站是detik.com。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMPLEMENTASI DATA MINING NAÏVE BAYES DAN SVM (SUPPORT VECTOR MACHINE) DALAM PENGUMPULAN BERITA KRIMINAL DI INDONESIA PADA MASA PANDEMI COVID-19 Studi Kasus : Situs Berita Detik.com
The intensity of crime news is relatively high, making the public familiar with criminal cases ranging from corruption, drugs, gambling, immoral acts, theft, fraud, and kidnapping to murder. The media are not only reporting or informing of criminal acts that occur, but the media also acts as a tool of social control. Currently, many news sites provide information related to events and phenomena. On the other hand, the Covid-19 pandemic has created multidimensional crises and problems. One of them is the emergence of crime in the community. This study aims to collect criminal news from news sites during the Covid-19 pandemic. It can be analyzed regarding the possibility of a trend of criminal events in tandem with the direction of the Covid-19 pandemic in Indonesia. The news site used in this research is detik.com.
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