tweetimizer is a responsive web app that helps journalists to increase the reach of their tweets by finding effective and up-to-date hashtags for their topics. In addition, the tool shows the most influencial users of these hashtags (to get in touch or start a discussion) as well as relevant articles (to see what's already been said).
This project has been developed during the Open Data Hack Day: Munich Edition and runs at tweetimizer.brgn.de.
The project consists of three main parts:
/python: Flask-based server that hosts the underlying machine learning model/server: Node.js server that acts as an intermediary/client: Bootstrap-based frontend
sudo easy_install pipsudo pip install flasksudo pip install flask-corssudo apt-get install python-numpy python-scipy- save your twitter token in .config.js (use server/config.js as template)
npm installnpm run build(installs Bower dependencies)npm run foreverornpm run nodeandnpm run python