Paper Title
Novel Approach For Cyberbully Detection Using Neural Networks
Article Identifiers
Authors
Karyada Vaeshnavi , Sree Lasya Balaji , Padala Rishi , Panaganti Koushik , Sreedhar Bhukya
Keywords
Cyberbulling,SVM, Long Short-Term Memory, Deep Neural Network, Convolutional Neural Network
Abstract
Technology is advancing rapidly today. These advances in technology have significantly changed the way people interact by adding a new dimension to communication. However, even though technology helps us in many aspects of life, it also comes with various consequences that affect people either positively or negatively. Cyberbullying is one such consequence. Cyberbullying is a crime in which a criminal uses hate speech and online harassment to target a person, causing the victim to suffer negative emotional, social, and physical consequences. We suggested a novel deep neural network-based technique for the identification of cyberbullying in order to solve this issue. When compared to current techniques, Convolutional Neural Networks are utilized to provide superior outcomes.
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How To Cite (APA)
Karyada Vaeshnavi, Sree Lasya Balaji, Padala Rishi, Panaganti Koushik, & Sreedhar Bhukya (July-2024). Novel Approach For Cyberbully Detection Using Neural Networks. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), f192-f199. https://ijnrd.org/papers/IJNRD2407420.pdf
Issue
Volume 9 Issue 7, July-2024
Pages : f192-f199
Other Publication Details
Paper Reg. ID: IJNRD_225687
Published Paper Id: IJNRD2407420
Downloads: 000121981
Research Area: Computer Science & TechnologyÂ
Country: karimnagar, Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2407420.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407420
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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