Identification of Cyberbullying and Finding Target User's Intention on Public Forums
- Title
- Identification of Cyberbullying and Finding Target User's Intention on Public Forums
- Creator
- Krishnasamy L.; Kiruthika M.; Manjunatha Swamy C.; Vigneshwaran T.; Sharon Roji Priya C.; Vijay Anand D.
- Description
- Numerous cybercriminals are active in the online realm, carrying out cyber-crimes according to predetermined and preplanned agendas. Cyberbullying, which was formerly limited to physical limits, has now expanded online as a result of technology advancements. One type of cyberbullying is denigration or insult. The cyberbullying cases are in exponential rise in social media as per the reports of Computer Emergency Team by Sri Lanka. Insulting words are changeable in dynamic and the same terminology may have numerous meanings depending on the context. Bullying cannot be defined just because a statement comprises such a term. As a result, when classifying comments, standard keyword detecting approaches are insufficient. Other languages also may have dealt with this issue by utilizing lexical databases like WordNet, which might give synonyms as well as homonyms for words. Because no adequate lexical database mainly for the English language has been built, recognizing a word like bullying is difficult. As a result, employed rules to solve the problem. Facebook comments containing profanity were gathered, outliers were eliminated, and the remaining messages were pre-processed. Five feature extraction rules were employed to assess insult in the text. Following that, used the Support Vector Machine (SVM) technique. Using an F1-score of 85%, the findings demonstrate that when compared to existing works, SVM performs better. The focus on English language cyberbully identification, which has never been addressed earlier, distinguishes this study. 2023 IEEE.
- Source
- Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 2152-2156.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- bag of words; cyberbullying; feature extraction; sentiment analysis; SVM
- Coverage
- Krishnasamy L., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Kiruthika M., School of Computing, Department of Computational Intelligence, SRM Institute of Science and Technology, Tamilnadu, Kattankulathur, India; Manjunatha Swamy C., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Vigneshwaran T., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Sharon Roji Priya C., School of Engineering and Technology, Department of CSE, Christ University, Bengaluru, India; Vijay Anand D., Kongu Engineering College, Department of Information Technology, Erode, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835030448-0
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Krishnasamy L.; Kiruthika M.; Manjunatha Swamy C.; Vigneshwaran T.; Sharon Roji Priya C.; Vijay Anand D., “Identification of Cyberbullying and Finding Target User's Intention on Public Forums,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19703.