Skip to content

Latest commit

 

History

History
11 lines (9 loc) · 648 Bytes

README.md

File metadata and controls

11 lines (9 loc) · 648 Bytes

Clickbait_Detection

https://zenodo.org/record/3346491/files/clickbait17-train-170630.zip?download=1

  1. Clone the repository into a directory of your choice
  2. cd Clickbait_Detection
  3. Set up a virtual environment (venv recommended - python3 -m venv venv and source venv/bin/activate).
  4. Once in venv, run pip install -r requirements.txt to install all packages
  5. Run jupyter lab (with --no-browser on WSL).
  6. Run the PreProcess.ipynb notebook first to download the data and create the preprocessed Clickbait dataset

Now you can run the other embedding notebooks, which will automatically download the pretrained embeddings.