Automated Classification of Criminal and Violent Activities in Thailand from Online News Articles

Tipajin Thaipisutikul, Suppawong Tuarob, Siripen Pongpaichet, Amornsri Amornvatcharapong, Timothy K. Shih

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

Criminal and violent activities are a universal concern that affects a society's nature of life and economic dynamics. With dramatically increasing crime rates, law enforcement agencies have begun to show attention in utilizing machine learning approaches to analyze crime patterns to protect their communities. However, there are only a few studies that carried out experiments to classify Thai crime news articles into their proper categories. Also, the comparison of various machine learning algorithms toward this task has still been under-investigated. Therefore, in this paper, we aim to develop a framework to automate the classification and visualization of criminal and violent activities from online Thai news articles. Six classifiers are employed to classify crime news articles into one of the five crime categories including Burglary, Drug, Murder, Accident, and Corruption. The results have shown that Support Vector Machine and Logistic Regression approaches outperform other classifiers in terms of Accuracy, Precision, Recall, and F-Measure metrics.

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主出版物標題KST 2021 - 2021 13th International Conference Knowledge and Smart Technology
發行者Institute of Electrical and Electronics Engineers Inc.
頁面170-175
頁數6
ISBN(電子)9781728176024
DOIs
出版狀態已出版 - 21 1月 2021
事件13th International Conference Knowledge and Smart Technology, KST 2021 - Bangsaen, Chonburi, Thailand
持續時間: 21 1月 202124 1月 2021

出版系列

名字KST 2021 - 2021 13th International Conference Knowledge and Smart Technology

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???event.eventtypes.event.conference???13th International Conference Knowledge and Smart Technology, KST 2021
國家/地區Thailand
城市Bangsaen, Chonburi
期間21/01/2124/01/21

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