Fake News Detection
Minor Project
Instructions
Jupyter Notebook
- Install numpy, pandas, scikit-learn, nltk using conda.
- Download the dataset from here. It's ~70 MB.
- Unzip and extract to folder named 'data-payames' within the root directory of the repo. Rename the file as 'data-payames.csv'
- Download the dataset from here and extract to folder named 'data-umich' within the root directory of the repo.
- The root folder of the repository is supposed to contain a file called model.joblib. This is one of the trained models exported to a file.
Data Collection
- Install newspaper3k, pytz using pip.
Web Interface
- Install Django.
- Go to Fake-News-Detection/files/fakenews directory.
- Run command in shell "python manage.py runserver".
- Copy the address from the terminal that will be displayed and paste in browser.