This is a flask application that detects and identifies the fake or real news. The flask framework provides a robust and agile development environment and this application is based on the same. The train_model_fakenews.py can be used to tweak this model for further usage. The news.csv file contains the dataset used for the model's training.
- Passive Aggressive Classifier - used for training and fitting.
- TfidfVectorizer - used for vectorizing the input textual data and transform it.
Paste the news:
Press 'check' to predict the news:
