Implementing Sentimental Analysis for Detecting Fake News

There is huge rise in spreading of fake news. The main intention is to divert the truthness and originality of the news. Our model is grounded with TF-IDF vectorizer for feature extraction, Text Blob for performing sentimental analysis, Matplotlib and Seaborn for visualization and with Naïve bayes, Random Forest and Logistic regression classification algorithms