To classify the News into Real/Fake using Features from the Text Content of the article

Overview

Hoax-Detector

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.

Extracted Features :

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

Dataset Link :

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