基于深度神经网络的网络欺凌检测

Vijay Banerjee, Jui Telavane, Pooja R. Gaikwad, P. Vartak
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引用次数: 39

摘要

今天,创新发展迅速。这种创新的进步以一种广泛的方式改变了个人的合作方式,给沟通带来了另一个维度。但是,尽管创新在生活的许多方面鼓励着我们,但它伴随着不同的影响,以不同的方式影响着人们。网络欺凌就是其中之一。网络欺凌是一种不法行为,罪犯以在线挑衅和厌恶的方式关注个人,对受害者产生敌对的情感、社会和身体影响。为了解决这一问题,我们提出了一种新的基于深度神经网络的网络欺凌检测方法。与现有系统相比,利用卷积神经网络可以获得更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Cyberbullying Using Deep Neural Network
Innovation is developing quickly today. This headways in innovation has changed how individuals cooperate in an expansive way giving communication another dimension. But despite the fact that innovation encourages us in numerous parts of life, it accompanies different effects that influence people in a few or the other way. Cyberbullying is one of such effects. Cyberbullying is a wrongdoing in which a culprit focuses on an individual with online provocation and loathe which has antagonistic emotional, social and physical effects on the victim. So as to address such issue we proposed a novel cyberbullying detection method dependent on deep neural network. Convolution Neural Network is utilized for the better outcomes when contrasted with the current systems.
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