• CH. Harshitha
• Mr. N. Koteswara Rao

From the era internet originated into survival, the social networking epoch has been sprouting. In the opening phase, no one believed that the internet will be desired as a cloud of great services such as social- networking. Now, can say that social networking and virtual application are non-separable and obligate to a portion of humans' life. Numerous people from various age clusters spend most of their time on websites. Along with the increase in social networks, cyberbullying also increases day-by-day. To recognize word resemblances in the twitters made by bullies and with the usage of machine learning a cyberbullying detection system is developed. Though, the system is designed to discover cyberbullying in social-media, the system used twitter text and comments has input data, the preprocessing is performed with NLP techniques to enhance the detection result. Therefore, efficiency and effectiveness of the planned method is estimated in terms of performance metrics such as F1-score, precision, recall and accuracy.

Cyberbullying, NLP, Machine learning, Naïve Bayes, Decision tree.

"CYBEREBULLYING DETECTION IN SOCIAL MEDIA USING SUPERVISED ML AND NLP TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.307-312, June-2024, Available :http://www.jetir.org/papers/JETIRGL06052.pdf

"CYBEREBULLYING DETECTION IN SOCIAL MEDIA USING SUPERVISED ML AND NLP TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp307-312, June-2024, Available at : http://www.jetir.org/papers/JETIRGL06052.pdf