Develop a deep learning program to identify when an article might be fake news. First of all, convert text data to numerical data using NLP and then predict whether the news is fake or real using an Artificial Neural Network.
Predict whether the news is fake or real.
🔵 A whole training dataset has the following attributes:
Id : unique id for a news article
Title : the title of a news article
Text : the text of the article; incomplete in some cases
Label : a label that marks the article as possibly erratic
1 : fake
0 : real
In the end, you can see the accuracy of all the algorithms in a graphical way.
Feel free to open an issue on GitHub if you find any bug.
Feel free to Create an issue on GitHub to request any additional features you might need for your use case.