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Prototype to Perform Audit in Social Networks to Determine Cyberbullying

机译:在社交网络中执行审核以确定网络欺凌的原型

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It was analyzed information on references to cyberbullying in social networks, text analysis, harassment detection, factors and behavior. The problem is the lack of auditing models on social networks that generate reliable information to determine cyberbullying. The objective of this research is to develop a prototype to perform audits on social networks to determine cyberbullying. It was used the deductive method and exploratory research to identify proposals that detect cyberbullying on social networks. It resulted in an Architecture prototype to perform audits on social networks to determine cyberbullying and an Algorithm prototype to perform audits on social networks to determine cyberbullying expressed in a flow chart. It was concluded that the algorithm prototype obtains valid information from social networks in a clear and precise way through the classification and weight of the offensive text; the prototype obtained 93.80% of average performance.
机译:对有关社交网络中网络欺凌,文本分析,骚扰检测,因素和行为的参考信息进行了分析。问题在于缺少社交网络上的审核模型,该模型无法生成可靠的信息来确定网络欺凌行为。这项研究的目的是开发一个原型,对社交网络进行审核以确定网络欺凌。它被用于演绎方法和探索性研究,以识别检测社交网络上网络欺凌的提议。它产生了一个架构原型,用于对社交网络进行审核以确定网络欺凌,以及一个算法原型,用于对社交网络进行审核以确定流程图中表达的网络欺凌。结论是,算法原型通过对攻击性文本的分类和权重,可以清晰,准确地从社交网络中获取有效信息。该原型获得了平均性能的93.80%。

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