In current years, with quick development of social networking websites, clients are extremely dynamic in these stages and extensive measures of information are aggregated. Among those social networking websites, Facebook is the most well known site that has generally clients. In any case, in Facebook, the abusing issue is an extremely critical issue, for example, Hate Groups. Numerous researchers are committing on the best way to identify potential hate groups, for example, utilizing the methods of social networks examination. Trust content is also an essential variable for hate group�s discovery. The Semantic-based Friend Approval and Na�ve Bayes (SBFA+NB) strategy is proposed for hate groups identification which depends on the method of Social Networks Examination and Web Mining (Text Mining; Natural Language Processing). From the test outcome, it demonstrates that substance assumes a critical part for hate groups discovery and the performance is superior to the framework that simply applying social networks examination.