Government affair event automatic order sending method fusing grid semantics of disposal institution

Abstract

The invention provides a government affair event automatic order sending method fusing grid semantics of a disposal institution . The government affair event automatic order sending method comprises the following steps of: S10, obtaining a government affair event historical data set; S20, carrying out event data preprocessing and semantic feature extraction; S30, constructing an event disposal mode prediction model: taking the historical data set and the geographic position corresponding to the historical data as input, taking a disposal mechanism code as final output, and constructing and training the prediction model by adopting a deep neural network mode; S40, constructing an event handling institution prediction model; and S50, performing prediction by using the prediction model obtained by training and the prediction model, and outputting a corresponding event mechanism code needing to process the event. According to the method, the service type and the grid where the disposal mechanism is located are predicted at the same time through the model based on the deep neural network, and the final disposal mechanism code can be obtained through the disposal mechanism prediction model.

Description

technical field [0001] The invention relates to the technical field of intelligent processing of government hotline events, in particular to a method for automatically dispatching orders for government affairs events that integrates grid semantics of processing institutions. Background technique [0002] With the development of the Internet and big data technology, in order to speed up the construction of a service-oriented government and improve the level of social governance, the construction of hotline service platforms such as 12345 has become an important part of the construction of the "Internet + government service" system. Various online and offline service channels, including , website, WeChat, APP, etc., provide an efficient and convenient communication bridge for the interaction between the government and the people. In a medium-to-large city, the government affairs hotline can generate millions of event data every year. The main content of these data is recorded ...

AI Technical Summary

Problems solved by technology

[0008] Chinese patent document CN108573031A discloses a content-based complaint classification method and system, although it is also a classification process for government affairs hotline texts, but only considers the distribution process of functional departments

In view of the fact that the final judgment of the disposal agency is a highly complex decision-making process, it is difficult to directly use the learning model to completely judge and predict the final disposal agency corresponding to the event based on the above information

In addition, because the existing technology does not have a joint training model that takes into account both business categories and spatial locations, the versatility of the automatic dispatch method between different cities will be limited

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