成为VIP当今社会进入了科技进步、大数据快速发展的新时代。大数据的大众点评评论数据分析与展示也不断加强，计算机技术对经济社会发展和人民生活改善的影响也日益突出，人类的生存和思考方式也产生了变化。传统的大众点评评论数据分析与展示采取了人工的管理方法，但这种管理方法存在着许多弊端，比如效率低下、安全性低以及信息传输的不准确等，同时由于大众点评评论数据分析与展示管理中中会形成众多的大众点评评论数据数据，比如数据信息统计、新增访问统计、新增评论统计、新增评分统计、美食信息统计等，更改和维护等较为麻烦的管理问题，同时由于当下人民群众对大众点评评论数据分析与展示管理的需求也日益高涨，各大众点评评论数据分析与展示管理开展全新的改革以满足时代的需求。根据此问题，研发一套大众点评评论数据分析与展示系统，既能够大大提高大众点评评论数据信息的检索、变更与维护的工作效率，也能够方便信息系统的管理运用，从而减少信息管理成本，提高效率。
该大众点评评论数据分析与展示系统采用B/S架构、开发语言使用python，并采用Hadoop技术以及 springboot框架进行开发。本系统主要设计并完数据信息、新增访问、新增评论、新增评分、美食信息等功能，进行维护与管理。该系统操作简单，界面设计简单，不仅能基本满足目前大众点评评论数据分析与展示的日常管理工作，而且能有效降低人员成本和时间成本，为大众点评评论数据分析与展示系统工作提供方便。
关键词：大众点评评论数据分析与展示系统；B/S 架构；爬虫；springboot框架；
Today’s society has entered a new era of technological progress and rapid development of big data. The analysis and display of public comments and comments on big data are also constantly strengthening, and the impact of computer technology on economic and social development and the improvement of people’s lives is becoming increasingly prominent. The way humans survive and think has also changed. The traditional analysis and display of Dianping comment data have adopted manual management methods, but this management method has many drawbacks, such as low efficiency, low security, and inaccurate information transmission. At the same time, due to the formation of a large amount of Dianping comment data in Dianping comment data analysis and display management, such as data information statistics, new access statistics, new comment statistics, new rating statistics, etc The management issues of food information statistics, modification, and maintenance are relatively complicated. At the same time, due to the increasing demand of the people for the analysis and display management of public comment data, various public comment data analysis and display management are undergoing new reforms to meet the needs of the times. Based on this issue, developing a data analysis and display system for Dianping comments can greatly improve the efficiency of searching, changing, and maintaining Dianping comment data information, as well as facilitate the management and application of information systems, thereby reducing information management costs and improving efficiency.
The data analysis and display system for Dianping comments is developed using the B/S architecture, Python as the development language, and Hadoop technology and Springboot framework. This system mainly designs and completes functions such as data information, new access, new comments, new ratings, and food information for maintenance and management. The system is easy to operate and has a simple interface design. It can not only meet the daily management needs of analyzing and displaying data on Dianping, but also effectively reduce personnel and time costs, providing convenience for the work of Dianping’s data analysis and display system.
Keywords: Dianping Comment Data Analysis and Display System; B/S architecture; Reptiles; Springboot framework;
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