THE CONSTRUCTION AND PRACTICE OF COMMUNITY CRISIS INFORMATION MINING MODEL ON THE WECHAT INTERNET PLATFORM RESEARCH

Abstract

Mining community crisis information on Internet platforms is a complex project. This study focuses on theoretical review, subject intervention, and practical research from a management perspective. The goal is to optimize the model of WeChat Internet community information governance and propose a mining search and extraction method for community public opinion information in social networks. The study aims to effectively manage traditional public opinion information in terms of search, cleaning, extraction, storage, and more. The research also designs a search system structure for community information and establishes a public opinion information mining model based on the audience's personalized behavior search method.