About

Worker script to run periodically for logging twitter interactions around a set of keywords.

Usage

Link data is pushed to a Github gist, where it can be easily accessed from e.g. web-based data visualizations. Tweet and user data are stored locally. To get started:

1. Clone this repository.
2. Create a gist on GitHub. It should only contain a dummy file (e.g. a short description of the dataset).
3. Enter the data folder and do git init and git remote add origin <path_to_gist>.git.
4. Cache github credentials: git config --global credential.helper "cache --timeout=<seconds>".
5. Do git pull origin master to get the dummy file from the gist. Type in your credentials.
6. Enter a screen session on a server.
7. Execute the worker.py script with language and tag arguments. Example: python worker.py --tags obama,trump --langs en,da.