This is the repo for Twitter bot detection and classification project at Rice

I've been designing this repository for a while. I hope virtualization and version control will make everyone's life easier. I plan to incorporate Travis CI to enable continuous integration and continuous deployment in the future. Meanwhile feel free to restructure files or folders if you have a better idea!

How to get started:

• Make sure you have python installed (I'm using Python 2.7.10)

• Install virtualenv via pip:

  $ pip install virtualenv

• fork the project to your own repo

• clone your repo to your local directory

• git clone git@github.com:USERNAME/TwitterBotProject.git

• cd TwitterBotProject

• virtualenv env (this is only needed when you first clone the project)

• source env/bin/activate

• pip install -r requirements.txt

• export TwitterBotProjectPath=`pwd`

• Now you are good to go!

• You can try running script: python detect.py

• cd & python -m TwitterBotProject.feature.feature_extraction (Important, you must run sub module scripts one level above the repo directory)

How to contribute (I can teach you the whole process if you haven't done that before):

• Everytime you work on this project, remember to activate the environment
  source env/bin/activate
• Everytime you finish working on this project, deactivate it deactivate
• Create a new branch to add new features
• Submit a merge request to this repo, and I will merge as soon as I can
• Rebase from master branch regularly (Again, I can teach you what is rebase and how to rebase)