TwitterSuicideML

Scripts for reproducing the Machine Learning analysis of the paper: Detecting Potentially Harmful and Protective Suicide-related Content on Twitter: Machine Learning Classification of Tweets

1. clone this repository: git clone https://github.com/HubertBaginski/TwitterSuicideML.git

2. Get the dataset with tweet text, and put it in the folder "data" within the repository folder. Option a: write to us to get the training dataset including the text of tweets: [email protected] Option b: rehydrate the tweets based on the tweet IDs in the dataset

3. Create a virtual environment "TwittersuicideML": conda create --name TwitterSuicideML

4. Activate the environments after all packages are installed: conda activate TwittersuicideML

5. Install all the packages we used, from within the repository folder: pip install -r requirements.txt

6. Open Jupyter Notebook or Juptyer Lab