Event warning method based on Internet information

Abstract

The invention discloses an event warning method based on Internet information and belongs to the technical field of information. The method comprises the following steps. Firstly, crawling of webpage information on each set website is performed, the webpage information is stored, and information relevant to an event is obtained. Secondly, junk information filtering is performed on the information which is relevant to the event and obtained by crawling. Thirdly, an event information main body is set up, the information after filtering is sorted based on example names and attributes in the event information main body by utilizing a mode matching method. Fourthly, the sorted information is clustered according to set characteristics, and events in each kind of information are obtained. Fifthly, all the characteristic parameter values of each event are obtained regularly, and if a difference value of all the characteristic parameter values of one event and an average value of the event in a given previous period exceeds a preset threshold, warning on the event is performed. The event warning method based on the internet information ensures timeliness, accuracy and comprehensiveness of information identification and warning of food safety events, and improves efficiency of risk warning of food safety.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a method for monitoring, crawling, and analyzing Internet information by using specific steps, and extracting food safety event-related information and early warning based on this method, which is mainly used in emergency response to unconventional emergencies such as food safety Handle the necessary network information monitoring, information early warning and other work. Background technique [0002] In recent years, food safety incidents such as clenbuterol, dyed steamed buns, plasticizers, and poisonous cucumbers have occurred frequently, which have not only caused extremely bad social impacts, but also brought a lot of economic losses. In order to avoid or minimize the harm caused by these food safety incidents, event-based risk early warning technology has begun to receive attention, which requires early detection of information about these incidents, timel...

AI Technical Summary

Problems solved by technology

[0005] For example, some research work uses Internet information for risk warning, but how to process the collected information and what measures to take in this research requires manual participation and decision-making

There are also research works that can automatically conduct food safety risk warnings for additives and supplements based on Internet information, but the information collected in the process is mainly news information, and does not consider the current rapid development of Web2.0 applications such as blog information. The quality of information was not considered, and the collected garbage information was not filtered-this will affect the accuracy of early warning; the timeliness and topicality of information collection were not considered in the process of information collection-this will affect the timeliness and accuracy of early warning In the process of event information discovery, the method of directly using the category information obtained after keyword matching as the same type of event information may have problems such as inconsistency in the subjects corresponding to the information

Judging from the actual test results, there are still areas that need to be further improved in terms of information classification, early warning accuracy, comprehensiveness, and timeliness.

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