Machine Learning Based a Comparative Analysis for Detecting Tweets of Earthquake Victims Asking for Help in The 2023 Turkey-Syria Earthquake

IF 3.3 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Anıl UTKU, Ümit CAN
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引用次数: 0

Abstract

Two major earthquakes in Kahramanmaraş on February 6, 2023, 9 hours apart, affected many countries, especially Turkey and Syria. It caused the death and injury of thousands of people. Earthquake survivors shared their help on social media after the earthquake. While people under the rubble shared some posts, some were for living materials. There were also posts unrelated to the earthquake. It is essential to analyze social media shares to plan the process management effectively, save time, and reach the victims as soon as possible. For this reason, about 500 tweets about the 2023 Turkey-Syria earthquake were analyzed in this study. The tweets were classified according to their content as user tweets under debris and user tweets requesting life material. Popular machine learning methods such as DT, kNN, LR, MNB, RF, SVM, and XGBoost were compared in detail. Experimental results showed that RF has over 99% classification accuracy.
基于机器学习的比较分析,检测2023年土耳其-叙利亚地震中寻求帮助的地震受害者的推文
2023年2月6日,kahramanmarakh发生了两次大地震,间隔9小时,影响了许多国家,尤其是土耳其和叙利亚。它造成了成千上万人的伤亡。震后,地震幸存者在社交媒体上分享了他们的帮助。虽然瓦砾下的人们分享了一些帖子,但有些是为了生活材料。也有与地震无关的帖子。分析社交媒体分享对于有效规划流程管理,节省时间,尽快到达受害者是至关重要的。因此,本研究分析了大约500条关于2023年土耳其-叙利亚地震的推文。这些推文根据内容分为“碎片下的用户推文”和“要求生活素材的用户推文”。对DT、kNN、LR、MNB、RF、SVM、XGBoost等常用的机器学习方法进行了详细比较。实验结果表明,该算法的分类准确率在99%以上。
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来源期刊
Journal of Artificial Intelligence and Soft Computing Research
Journal of Artificial Intelligence and Soft Computing Research COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
7.00
自引率
25.00%
发文量
10
审稿时长
24 weeks
期刊介绍: Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Our goal is to bring together scientists representing both approaches and various research communities.
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