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Criminal Events Detection in News Stories Using Intuitive Classification

机译:使用直观分类的新闻故事中的犯罪事件检测

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This paper proposes a model for the identification of criminal events through the analysis of journalistic news implementing classification mechanism. The classification process is composed of three sub-process: Information Extraction, Classification process and a Selection process of the classes with the best scores obtained after the classification. To obtain the harmonic mean between recall and precision (F-Score) of this classification model, a criminological corpus called CAD was used to simulate different scenarios. CAD is a corpus in Spanish composed of news reporting crimes about homicide, assaults, kidnapping, sexual abuse, and extortion, called High Impact Crimes according to [1].
机译:本文通过对新闻动态实施分类机制的分析,提出了一种犯罪事件识别模型。分类过程由三个子过程组成:信息提取,分类过程和分类后获得最佳分数的类别的选择过程。为了获得此分类模型的查全率和查准率(F-Score)之间的谐波均值,使用了一种称为CAD的犯罪学语料库来模拟不同的场景。 CAD是西班牙语的一个语料库,由有关杀人,殴打,绑架,性虐待和勒索的新闻报道犯罪组成,根据[1]称为高影响力犯罪。

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