• Pari Borkar
• Arpitaa Dhoke
• Jasmine Gill
• Samiksha Talekar
• Priyanka Yadav

Since the turn of the twenty-first century, cyberbullying has become a serious issue, especially for kids and teenagers. Cyberbullying is when someone uses the internet and social media to send, receive, and post hurtful, false, or cruel content about another person. Social media bullying functions similarly to threatening someone. As a result, mental health issues significantly increased, particularly among young people. Suicidal thoughts have increased and self-esteem has decreased as a result. Unless steps are taken to prevent cyberbullying. Numerous conventional machine learning models have been used in the past to automatically identify instances of cyberbullying on social media. However, not all the essential features have been taken into account by these models.

Cyberbullying, Social Media, BERT, NLP, Semi-supervised learning, Twitter API.

"Cyberbullying Detection on Social Media Using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.e266-e273, May-2025, Available :http://www.jetir.org/papers/JETIR2505499.pdf

"Cyberbullying Detection on Social Media Using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppe266-e273, May-2025, Available at : http://www.jetir.org/papers/JETIR2505499.pdf