Online detecting method for quality safety accident of agricultural products

Abstract

The invention discloses an online detecting method for a quality safety accident of agricultural products. The method comprises the steps of crawling a Web page related to the agricultural product quality safety field from a system specified website; preprocessing to obtain an initial document set; performing characteristics extract for the initial document set; performing text characteristics expression through an improved incremental TF-IDF model; clustering the initial document set; treating a plurality of clustered subject events as the known events of the system; performing Single-Pass incremental clustering for the new webpage set to obtain a plurality of candidate events; calculating the similarity of the candidate events and known events; marking the candidate events of which the similarity is more than the threshold as the new events. According to the method, the Web information is analyzed to automatically recognize the agricultural product quality safety events, so as to detect the agricultural product quality safety event line; the method is applied to dynamic detection of agricultural product quality safety risk information.

Description

technical field [0001] The invention belongs to the field of intelligent information processing of emergencies, and in particular relates to an online detection method for agricultural product quality and safety events realized by technologies such as Web mining, topic detection and tracking. Background technique [0002] In recent years, agricultural product quality and safety incidents have occurred continuously in severe forms. Agriculture-related emergencies such as the quality and safety of agricultural products have great social impact, high attention, and high sensitivity. If such incidents cannot be discovered and dealt with in a timely manner, they will easily cause social panic and systemic social risks. With the rapid development of the Internet, the Internet has become one of the important platforms for people to obtain, publish and disseminate information. For example, the quality and safety incidents of agricultural products such as "Clenbuterol", "Poisoned Co...

AI Technical Summary

Problems solved by technology

The traditional methods of identifying, collecting and organizing news events rely entirely on manual processing, which is not only time-consuming and labor-intensive, but also often lacks overall analysis and proofreading, ignoring the correlation between news events, thus making it impossible to accurately distinguish between new events and organizations its derivative events

In addition, due to the suddenness, uncertainty, and social sensitivity of agricultural product quality and safety incidents, after the occurrence of agricultural product quality and safety incidents, relevant departments need to keep abreast of the public opinion and development trend of the incident. Traditional information identification, acquisition and analysis The processing methods are increasingly unable to meet the needs of the emergency management practice of agricultural product quality and safety incidents. There is an urgent need for an application technology for automatic identification and organization of agricultural product quality and safety incidents based on network big data, which can accurately and timely detect the latest agricultural product quality and safety incidents. , collect follow-up reports on the same event and organize them into an organic whole

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