Fake News Classifier using Bidirectional LSTM

Fake news is false or misleading information presented as news. It often aims to damage the reputation of a person or entity or make money through advertising revenue. However, the term does not have a fixed definition and has been applied more broadly to include any type of false information, including unintentional and unconscious mechanisms, and also by high-profile individuals to apply to any news unfavorable to his/her personal perspectives. To develop a Fake News Classifier using Bidirectional Long Short Term Memory (LSTM) using Python programming Language and Keras on Cainvas Platform. Let's load our data file train.csv