Fake News Detection Model using Machine Learning Techniques

In today's era, unreliable news results in several consequences impacting the society changing the people's perspective. There are several approaches and techniques for detecting the fake news, also new methods are being implemented in order to obtain more accurate model. This paper focuses on developing a machine learning model using Natural Language Processing techniques like TF-IDF feature extraction and passive aggressive classifier to detect the fake news. The experimental outcomes shows that the proposed model outcomes existing model in detection of fake news.