基于数据挖掘和分析的食品安全智能测评系统

Food Safety Intelligent Assessment System Based on Data Mining and Analysis

食品安全是当今社会人们最关注的问题之一,如何大量挖掘各大外卖平台数据并分析提炼出使用者需要的真实信息,成为该系统研究的重点内容。该项目从外卖平台翘楚美团和大众点评的文字评价切入,以PHP 搭建Web 环境,采用PHPQuery 和CURL 的类方法来实现的Web 应用,完成信息数据采集、清洗、查错和去重。为了克服现有的自定义关键字匹配算法对复杂函数表示能力有限的问题,尝试融合深度学习的思想,帮助用户解决难以辨别获取信息是否真实可靠的问题,并结合用户需求有针对性地调整和优化。根据多个实例应用证明,该系统可有效采集食品真实数据。

Food safety is one of the most concerned issues in today's society. How to mine a large number of takeout platform data and analyze and ex. tract the real information users need has become the focus of this system research. Starts with the text evaluation of the takeaway platform Chu Mei Tuan and the public comment, builds the Web environment with PHP, realizes the Web application with PHP Query and CLL class method, completes the information data collection, cleaning, error checking, and de-duplication. In order to overcome the problem that the existing custom keyword matching algorithms have limited ability to express complex functions, tries to integrate the idea of deep learning to help users solve the problem that it is difficult to distinguish whether the information obtained is true and reliable, and adjust and optimize it according to the needs of users. According to the application of several examples, the system can effectively collect real food data.