Offensive Social Network Posts Classification using Apache Spark Platform

Social networking has become one of the most significant aspects of everyday lives since it allows us to communicate with many people. Social networking is used for many purposes besides communication. Though social networking platforms provide abundant benefits, there is no proper mechanism to check if only legitimate users are using the platforms. This happens to be the reason for many users to use those platforms to make offensive and vulgar comments about others. This research study intends to classify those social media messages as offensive or not offensive using Machine Learning Models available in the Apache Spark framework using Scala Programming Language. The dataset used for the classification is of size 43 GB, and the clustering mechanism has been implemented using the Apache Spark platform.