| Online social networks are becoming an important method and carrier for social relations maintaining and information dissemination in human society, which can format public opinion rapidly and results in profound impact on national security and social development. Real-time monitoring of public opinion on social networks is of great significance for the maintenance of national security, and the promotion of stable economic and social development.The paper establishes a lightweight weibo event monitoring system. Firstly, the relevant techniques were studied:for collecting data from weibo, the paper discussed the advantages and disadvantages of web crawler technique and the API method provided by sina, and proposed an efficient information collecting approach in order to reduce the amount of data to crawl; for extracting event information, the paper adopted an information extraction method based on webpage segmentation; For modeling and displaying, the paper studied the construction methods of the platform and the information visualization techniques.In addition, the paper analyzed the functional requirements and the non-functional requirements, and then designed the architecture of the system and the main modules. The system concentrate on dealing with three kinds of problems:information collecting, information analyzing and information displaying. To accomplish the functions, we designed two sub-systems:a platform used for collecting, analyzing, and organizing the information, and a platform to display the information, and presents a detailed module design.The paper describes the implementation of the system. Firstly, the construction of the hardware and software environment of the system is addressed. Secondly, the implementation of the sub-system for information collecting and the sub-system for information displaying are described. Finally, the UI effects are presented to show the main functions of the whole system.The final part summarizes the main work, and gives the prospects for future work. |