Vijay Banerjee, Jui Telavane, Pooja R. Gaikwad, P. Vartak
{"title":"Detection of Cyberbullying Using Deep Neural Network","authors":"Vijay Banerjee, Jui Telavane, Pooja R. Gaikwad, P. Vartak","doi":"10.1109/ICACCS.2019.8728378","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":249139,"journal":{"name":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCS.2019.8728378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 39
Abstract
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.