Comprehensive Exploration of Machine Learning based models in Digital Forensics – A plunge into Hate Speech Detection

From the prime state of distress to the gigantic flood of hatred thriving online, the humanity seems to be poignant. Social media is endemic with hate speech. Moreover, online along with offline hate events are rising at a high pace. This, eventually, makes a call to develop automatic hate speech detection systems. The present study aims to endow with a thorough relative analysis of machine learning algorithms in this regard. The methodologies are investigated with respect to their potencies and limitations for better understanding. The paper also imparts the milieu information about hate speech followed by the challenges faced by researchers while developing the appropriate models. This paper will act as a guide for future researchers of this domain by showing them the path for selecting most suitable machine learning based models.