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法律資料分析與文字探勘:跨境毒品流動要素與結構研究
Applying Legal Analytics and Text Mining: Factors and Structure of the Cross-border Drug Trafficking
邵軒磊(Hsuan-lei Shao)吳國清(Kou-ching Wu)
即將出版
58卷2期(2019/06/01)

台灣約有六成毒品來自境外,因此「跨境」毒品流動為重要研究主題,亦關乎台灣在國際政治上之非傳統安全領域,但至今少有公開資訊。本研究使用法律資料分析法,探索七萬餘篇法院判決書作為文本資料,描繪「毒品案件要素與結構」。研究發現:(1)近年約有三分之二件毒品案件是累犯,所有案件中之四分之三可易科罰金,兩者佐證現實上監獄負擔過重問題。(2)近年關於毒品之7種犯罪方式之數量增長程度有顯著差異存在,犯案數量由大至小為「施用、持有、製造、販賣、轉讓、運輸、栽種」。(3)就近..

Illegal drug is a serious global problem today. It is necessary to understand its distribution and trafficking routes in order to tackle this problem. Moreover, it is estimated that approximately 60 percent of the illegal drugs in Taiwan came from overseas. Hence, the flaw of cross-border drug control is also an important issue in international affairs. This article uses legal analytics to study 71,629 judgements text involving drug-related crimes to grasp the picture of case factor and structure by text mining technology. It..

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