Abstract
In the era of Technology & Information, with rapid grow in number of social media platforms & user’s using them, the information which is being produced to each & every user is very important and sensitive as it can lead to various serious consequences. Misinformation is spread intentionally to disturb the harmony and peace also they hide their anonymity which gives them the advantage to do it on large scale. Our model contrasts from other models in-terms of imbalanced data which leads to skewed class proportions creating uneven curve distribution as well as offers a news classification on various domains such as Politics, Sports, Entertainment, Business, Health, etc. “Fake news can imply things like- a mistake, intentional misleading, twisting a new story, or a complete lie”, also panic which was created during the Covid-19 pandemic is not less. Hence our project aims to focus on identifying fake news using the fake news detector so that people who want to have a reality check on specific news of any related topic can verify and get to know whether the information spreading is true or false
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