An Efficient FAKE NEWS DETECTOR

Social media now plays a vital role in shaping the feeling of people in favor or against a government or organization. Therefore, an effective method is an absolute requirement to recognize the feeling of any posting in social media[1]. Fake news is a phenomenon that affects our social life greatly, particularly in the political world. Fake news identification is a growing field area of interest, which faces some difficulties because of the small amount of resources available (i.e. databases, published literature)[2]. The primary objective of the proposed system is to develop an efficient system that can anticipate whether a piece of information is fake based purely on its content, thus addressing the issue from a purely natural language processing (NLP) perspective. The article analyzes different classification methods and suggests an active NLP method to identify FAKE NEWS. The main advantage of the proposed model is that it classifies fake news with good accuracy.