Improving Monitoring of Participatory Civil Issue Requests through Optimal Online Classification

Abstract

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.

Year of Publication
2018
Conference Name
52nd Asilomar Conference on Signals, Systems, and Computers
Date Published
10