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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 subprocess: 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:本文通过对新闻新闻实施分类机制的分析,提出了一种确定刑事事件的模型。分类过程由三个子过程:信息提取,分类过程和类的选择过程组成,具有在分类后获得的最佳分数。为了获得该分类模型的召回和精确(F-F分)之间的谐波均值,用于模拟不同场景的犯罪学语料库。 CAD是西班牙语中的一个语料库,由关于凶杀案,攻击,绑架,性虐待和敲诈勒索的新闻报道罪组成,称为高冲击犯罪,根据[1]。

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