Realtime News Analysis using Natural Language Processing

Abstract

Fake news has become a huge issue in present times; it is both a societal and technical issue. It is difficult for companies to identify as the term covers different meanings like satire, false tales, factual errors, misleading headlines, and propaganda. Social media plays a crucial role in spreading fake news. It is propagated over different social networking sites and creates confusion, biases, and induces fear among people. Different approaches have been implemented over the years. Despite all the different trials, fake news remains a crucial challenge. The application will analyze the news and classify it into real/fake and clickbait/non-clickbait. In addition to analyzing the news into different categories, it summarizes and includes a dynamic feature that fetches live news.