Fake News Detection-Naive Bayes Model In this natural language processing(NLP) project, I have attempted to detect fake news based off datasets from Kaggle. For this project, I have used the “Fake and real news dataset” by Clément Bisaillon from Kaggle (Link: https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset). I have used to Naive Bayes Model to train the data, and predict whether a given news article is True or Fake. I have also used Pipelining to store a pipeline of the workflow.
Overview of Submission Folder
This folder contains:
- The dataset in .zip format
- A Jupyter Notebook where I have used to Naive Bayes Model to train the data, and predict whether a given news article is True or Fake