Cyber Bullying Detection on Social Media using Machine Learning

Authors

  • K. Mahesh  Computer Science and Engineering, CMR Technical Campus (CMRTC), Hyderabad, India
  • Suwarna Gothane  Computer Science and Engineering, CMR Technical Campus (CMRTC), Hyderabad, India
  • Aashish Toshniwal  Computer Science and Engineering, CMR Technical Campus (CMRTC), Hyderabad, India
  • Vinay Nagarale  Computer Science and Engineering, CMR Technical Campus (CMRTC), Hyderabad, India
  • Harish Gopu  Computer Science and Engineering, CMR Technical Campus (CMRTC), Hyderabad, India

DOI:

https://doi.org//10.32628/CSEIT217381

Keywords:

Cyberbullying, social media, Support Vector Machine, Naïve Bayes, Test-Train Split, Classification, Detection

Abstract

From the day internet came into existence, the era of social networking sprouted. In the beginning, no one may have thought internet would be a host of numerous amazing services like the social networking. Today we can say that online applications and social networking websites have become a non-separable part of one’s life. Many people from diverse age groups spend hours daily on such websites. Despite the fact that people are emotionally connected together through social media, these facilities bring along big threats with them such as cyber-attacks, which includes cyberbullying.

References

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Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
K. Mahesh, Suwarna Gothane, Aashish Toshniwal, Vinay Nagarale, Harish Gopu, " Cyber Bullying Detection on Social Media using Machine Learning , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.410-416, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217381