Paper Title
DETECTION OF CYBER BULLYING ON SOCIAL MEDIA USING MACHINE LEARNING ALGORITHMS
Article Identifiers
Authors
v. susmitha , j. nagarani , p. lavanya
Keywords
Cyberbullying, Machine Learning, Natural Language Processing, Text Classification, Online Safety.
Abstract
The rise of social media platforms has created new opportunities for individuals to connect and share information. However, these platforms have also given rise to cyberbullying, a pervasive and harmful form of online behavior that can have serious consequences. To combat cyberbullying, researchers have begun exploring the use of machine learning techniques to detect and prevent these incidents. This project presents a comprehensive review of the current state-of-the-art in cyberbullying detection using machine learning, including an analysis of the various techniques and approaches that have been used, their effectiveness, and the challenges that remain. Through this review, we identify areas for future research and provide recommendations for improving the accuracy and effectiveness of cyberbullying detection using machine learning.
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How To Cite (APA)
v. susmitha, j. nagarani, & p. lavanya (May-2024). DETECTION OF CYBER BULLYING ON SOCIAL MEDIA USING MACHINE LEARNING ALGORITHMS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), b440-b451. https://ijnrd.org/papers/IJNRD2405159.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : b440-b451
Other Publication Details
Paper Reg. ID: IJNRD_220561
Published Paper Id: IJNRD2405159
Downloads: 000121995
Research Area: Computer Science & TechnologyÂ
Country: vijayawada, andhra pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405159.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405159
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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