Social media can serve to contribute to situation awareness, which involves the perception and comprehension of the reality around us, so that future actions can be projected. For example, Twitter can be used as a real-time channel of communication to report on environmentally-related problems. The goal of this paper is to describe a knowledge-based system that is able to detect such problems, so that a protocol of action can be developed. The evaluation of the system demonstrated that our symbolic approach to problem detection can outperform supervised classification methods.
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