Improving Monitoring of Participatory Civil Issue Requests through Optimal Online Classification

Participatory civil issue monitoring has emerged as an easy way for concerned citizens to report problems to their local government. For reported issues to be timely processed and addressed however, accurate, online and real-time processing methods to infer issue types are necessary. To address this challenge, we propose a computational, near-real-time civil issue reports processing method to estimate the actual issue from ambiguous and/or complementary information accurately and efficiently.