Community police emergency message intelligent identification system based on multistage semantic filtering

Abstract

The invention discloses a community police emergency message intelligent identification system based on multistage semantic filtering. A data access module pulls a session message; the preprocessing module extracts text information in the session message, preprocesses the text information and inputs the text information to the first-level rule engine module; the first-level rule engine module performs keyword filtering and normalization, screens out high-priority candidate texts through threshold judgment and outputs the high-priority candidate texts to the second-level semantic judgment module; the second-level semantic discrimination module converts the data into a semantic vector, carries out probability distribution, and outputs the data to the emergency scoring module after calibration; the emergency score fusion module fuses multiple factors and performs feature weighting and noise suppression calculation on the multiple factors, and a final emergency score is obtained after normalization; the dynamic threshold and strategy decision module gives an alarm when the final emergency score is greater than or equal to the dynamic threshold; and the alarm distribution and work order module generates an alarm notice and pushes the alarm notice. According to the system, emergency degree identification and alarm distribution are carried out on messages, and efficient early warning and refined distribution of community police duty are realized.

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