• GAJJALA NAMRATHA
• K.RAMBABU

Now a day’s social media have attracted a lot of web user’s attention towards it for knowing the recent updates, share the new thoughts and exchange the latest updates throughout the world from one location to other location. 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.

Social Media, Cyber Bullying, Support Vector Machine (SVM), Threatening, Vulgar Conversations, Afflicting.

"PREDICT AND ANALYZE THE CYBER BULLED COMMUNICATION IN ONLINE SOCIAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.1460-1473, April-2021, Available :http://www.jetir.org/papers/JETIR2104401.pdf

"PREDICT AND ANALYZE THE CYBER BULLED COMMUNICATION IN ONLINE SOCIAL NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp1460-1473, April-2021, Available at : http://www.jetir.org/papers/JETIR2104401.pdf