Environmental risk perception evaluation method based on data mining

Abstract

The invention discloses an environmental risk perception evaluation method based on data mining, and relates to the technical field of environmental risk perception evaluation. According to the method, firstly, text information related to public environment risk perception is rapidly mined from massive public environment appeal data, text data irrelevant to environment quality is removed by adopting a data cleaning and preprocessing method, and then keyword retrieval is carried out based on an unsupervised and learning technology; and finally, the complaint text is comprehensively scored by adopting a TFIDF algorithm, so that environmental health influence factors highly concerned by the public can be effectively identified, and the timeliness and accuracy of public environmental risk perception degree evaluation are improved.

Description

technical field [0001] The present invention relates to the technical field of environmental risk perception evaluation, in particular to a method for environmental risk perception evaluation based on data mining. Background technique [0002] The continuous disclosure of environmental pollution information by the media and the increasing awareness of public health have prompted more and more people to perceive environmental risks. Environmental risk perception refers to the public's understanding of the characteristics of environmental risks, the importance and urgency of environmental protection, and the relationship between people and the environment. The public's environmental protection behavior depends on their perceived environmental risks. Studying the public's environmental risk perception is of great practical significance to guide the public to make correct risk perception judgments, stimulate the public's sense of urgency and responsibility to protect the enviro...

AI Technical Summary

Problems solved by technology

The key to implementing this method lies in the mining and cleaning of massive environmental risk perception data. Existing methods mainly include: statistics of publicly available management big data such as the amount of public environmental dispute litigation or public attention to environmental issues, such as public environmental The number of letters and visits and complaints, the number of visitors or the number of visitors, and the number of newspaper reports on environmental issues, etc., have problems such as insufficient information and low timeliness, and cannot truly reflect the public's environmental risk perception.

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