• C Narasimham
• KSS Praveen Kumar
• Dr M Kalpana Devi

Now a Days ONLINE social networks (OSNs) are frequently flooded with scathing remarks against individuals or organizations on their perceived wrongdoing. Public shaming in online social networks and related online public forums like Twitter has been increasing in recent years. These events are known to have a devastating impact on the victim’s social, political, teenagers and financial life. As this is becoming more popular still it faces some common limitations in terms of controlling the abused or vulgar conversations from individual user account. In general, cyber bullying is defined as the process of threatening a small kid or preteen by another child using the internet with some bad conversations and tries to make them feel nervous with these conversations. This is becoming a very severe problem in the current social media by afflicting the children, young adults with these rude messages. Hence, we try to construct a machine learning approach for detecting the set of abused words in the conversations and try to block such conversations not to be spread to others. By using this proposed approach, we can able to create a positive and safe communication in social media. Here we constructed a filter using Support Vector Machine (SVM) to filter out the abused words during communication.

cyberbullying, usecases, svm, BoW

"Procedural Design of Preventing the Cyber bullying Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.c74-c88, June-2024, Available :http://www.jetir.org/papers/JETIR2406210.pdf

"Procedural Design of Preventing the Cyber bullying Using Machine Learning 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. ppc74-c88, June-2024, Available at : http://www.jetir.org/papers/JETIR2406210.pdf