Authenticity of news has now become a major problem. The Idea is to classify the News into Real/Fake using Features from the Text Content of the article. Title and Text of the article are taken as input and Feature Engineering is performed by using Regular Expression . Our solution provides a system to detect fake news based on certain linguistic characteristics.

• Title, Text – Length, Words, Ratio.
• Punctuations Count – Question mark (?), Exclamation mark (!), Comma (,) , Dot (.) .

https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset