Design And Implementation Of Online Community Management System Based On Web

In recent years,with the vigorous development of mobile Internet,the popularization of social networking application has built a good platform for the widespread communication of the community.The Internet community,represented by WeChat groups and QQ groups,has become one of the most important communities in people's daily life.However,for the managers of the community,these following problems have to be faced when managing and operating these Internet communities:1)The rare functions of the Internet community in management make managers of community feel no way to get started when they face a large number of communities and messages.2)Group members are not enthusiastic in the community.There are a large number of divers.3)The system is closed and it is difficult to access to external resources.4)Statistics are not available for group messages to discover more valuable information.In view of the above problems,this subject designs and implements an online community management system based on WeChat group for the community management and staff.By setting up robots in the community,the system can reply message automatically,control group member,which liberate the group manager from the heavy basic operation.At the same time,the robot can interact with the group members intelligently and enhance the activity of group members.In view of the difficulty of access to resources,this subject implements a simple secondary development interface based on the system architecture,so that third-party service providers can provide their server in this system conveniently.At the same time,the system uses the text segmentation,natural language processing technology to achieve the automatically collect and analyses of group information,and make data visible in the page.In this case,group managers can understand the community more clearly and intuitively.In the process of keyword matching,based on the characteristic of short text in WeChat messages,this subject improves the WM algorithm by dividing text into two group.The test results show that the improved algorithm can effectively improve the system keyword matching efficiency,and improve system performance.