Detection of Cyberbullying Using Deep Neural Network
Detection of Cyberbullying Using Deep Neural Network
复制标题
使用深度神经网络检测网络欺凌
DOI：
10.1109/icaccs.2019.8728378
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
P. Vartak
中科院分区：
文献类型：
--
作者：
Vijay Banerjee;Jui Telavane;Pooja R. Gaikwad;P. Vartak
今天，创新发展迅速。创新的进展改变了个人以广泛的方式合作的方式，为沟通提供了另一个维度。但是，尽管创新在生活的许多方面鼓励我们，但它也伴随着不同的影响，以某种或其他方式影响人们。网络欺凌就是此类影响之一。网络欺凌是一种犯罪行为，犯罪者针对个人进行网上挑衅和厌恶，对受害者产生敌对的情感、社会和身体影响。为了解决这个问题，我们提出了一种基于深度神经网络的新型网络欺凌检测方法。与当前系统相比，卷积神经网络可以得到更好的结果。
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.