Published Paper Details:

Cyber-slander is the process of sending false messages to a person or community that causes heated discussion with users. Cyber-slander is often found on social networking sites, where users respond to bullying words with threats and insults to other users. Cyber slander is considered a misuse of technology. According to a recent survey conducted daily around the world, the number of cyber threat cases is on the rise. Many natural language processing techniques proposed by various authors to solve this problem are time-consuming and not automatic. With the advancement of machine learning and artificial intelligence, models can be developed and automated detection can be implemented. The live social media application is developed in Python programming to display this scenario and the Naive Bayes algorithm is used to train the model in a social media database and predict the detection of cyber threat using this model and display warning messages in the application.