Machine learning models for suspicious tweets detection
{
"dataset_name": "tweets_suspect.csv",
"dataset_url": "https://drive.google.com/file/d/1US0luOWPOeVPpUQnpyxr41zrBmeg4Gjk/view?usp=share_link",
"dataset_language": "english",
"dataset_size": "60_000 rows X 2 Columns",
"dataset_columns_description":
{
"message": "the tweet message",
"label": "message label, 1 is suspicious, 0 non suspicious"
}
}
- Clone the project
git clone git@github.com:abdoulfataoh/suspicious-tweets-detection.git
cd suspicious-tweets-detection
- Install Dependancies with poetry
poetry install
- Enable virtual env
poetry shell
- Check everything is OK
make test
- Run train and test
make train_test
see trained models at assets/models