{"repository":{"description":"My entry for the CIR/IRE's \"Follow the money\" campaign finance data mining contest. I used NLP and decision trees to identify influential contributors by employer or industry and compared that with a politician's voting record.","watchers":0,"stargazers":0,"forks":0,"fork":false,"size":74,"owner":"brandonrobertz","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"Python","created_at":"2013-08-02T15:21:50-07:00","pushed_at":"2013-08-02T15:33:40-07:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"B Roberts","blog":"http://austincut.com","location":"Austin, TX","email":"ef971ee38bba25d9ac8a840d235457a038448b09@austincut.com"},"url":"https://github.com/brandonrobertz/follow-the-money-datamining-contest/compare/0676e736d9...14cfd22f7d"}