12Jul 2020

CYBERBULLYING DETECTION & PREVENTION ON SOCIAL NETWORKS

  • Final Year Student of B.E, Department of Information Science & Engineering, Acharya Institute of Technology, Bangalore-560090, Karnataka, India.
  • Assistant Professor, Department of Information Science & Engineering, Acharya Institute of Technology, Bangalore-560090, Karnataka, India.
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As social media becomes, more popular cyberbullying has become a household word nowadays. Before the revolution of social media, cyberbullying is generally controlled by following standard guidelines, the use of human technicians, and blacklisting disrespectful words. Nevertheless, after the revolution, these mechanisms fall short for handling billions of users on social media. So, there is a need for building a system that can detect the sentiment of the content posted by the users and prevent the material from posting based on the sense of the content. However, it is difficult because the content from social media is mostly unstructured, short, and noisy, and frequently there's a use of confusing abusive phrases and words. To make cyberspace a secure place for future generations, a cyberbullying detection & prevention system is proposed.


[Diganto Deb Barma, Vishal Dwvedi and Akshatha Ballal (2020); CYBERBULLYING DETECTION & PREVENTION ON SOCIAL NETWORKS Int. J. of Adv. Res. 8 (Jul). 87-90] (ISSN 2320-5407). www.journalijar.com


Diganto Deb Barma
Acharya Institute of Technology
India

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Article DOI: 10.21474/IJAR01/11266       DOI URL: http://dx.doi.org/10.21474/IJAR01/11266


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