Shruti Aggarwal, Himanshu Sharma, Sanjana Mann, Mehul Gupta
student, guru gobind singh indraprastha university
Abstract
People in the 21st century are being raised in an Internet enabled world where social media has become an integral part of people’s daily routine, with communication just a click away. As per the latest survey, the number of individuals using social media is over 39.6 million worldwide, with the average user having 8.7 accounts on various networking sites. Social media provides an opportunity to connect with people and share data in the form of posts, text etc, with this package of pros and yet various individuals are trying to misuse it by spreading hatred towards a group, individuals, a topic or an activity. Due to which cyberbullying has come into play, affecting the psychological state of the person. Where prevention is much needed, for which many researchers have come together and established many such technologies and programs for automatically detecting the events of cyber bullying on social media and preventing them by analysing the pattern of the posted comments or images. Thus the purpose of this research is to track and monitor the threats using supervised machine learning and mining.
Keywords:
Journal Name :
EPRA International Journal of Multidisciplinary Research (IJMR)

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Published on : 2021-10-19

Vol : 7
Issue : 10
Month : October
Year : 2021
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