雍 熙1，华 东1，魏旭强2

　　(1. 水利部信息中心，北京 100053;

　　2. 北京数梦工场科技有限公司，北京100089)

　　摘 要：随着社交媒体的发展，水利网络舆情事件的发生次数呈上升趋势，监测分析难度日益加大。为解决水利网络舆情监测问题，开发建设水利舆情大数据监测分析平台十分必要。通过对基础设施、数据资源、舆情智能分析、舆情大数据可视化4个模块的构建，水利舆情大数据监测分析平台初步实现舆情大数据监测分析能力，形成较完善的水利行业舆情大数据工作机制。在互联网技术发展的新形势下，未来水利舆情大数据应用需加强水利行业自身的大数据算法研究，并加强同各类媒体间的数据共享与协作。近十年来的实际应用已凸显出水利舆情大数据监测分析平台在全面掌握水利舆情方面起着基础性的支撑作用，因此，大数据技术的应用是未来水利舆情监测工作的重要方向。

　　关键词：大数据;水利;舆情;监测分析;智能分析;平台

　　Monitoring and application research of big data of water conservancy public opinion

　　YONG Xi1， HUA Dong1，WEI Xuqiang2

　　(1.Information Center,Ministry of Water Resources, Beijing 100053, China;

　　2.Shumeng Workshop Technology Co., Ltd., Beijing100089, China)

　　Abstract：With the development of social media, the frequency of public opinion events on water conservancy is on the rise, and the difficulty of monitoring and analysis is increasing. In order to solve the problem of monitoring public opinion events, it is necessary to build the big data monitoring and analysis platform of water conservancy public opinion.Through the construction of four modules: Infrastructure, data resources, public opinion intelligent analysis and public opinion big data visualization, the platform realizes the ability of monitoring and analysis of public opinion big data and forms a relatively perfect working mechanism in water conservancy industry. Under the new situation of the development of Internet technology, the future application of big data of water conservancy public opinion needs to strengthen the research on big data algorithms of the water conservancy industry itself, and strengthen data sharing and collaboration with various media.The practical application in recent ten years has highlighted that the platform plays an important role in comprehensively mastering water conservancy public opinion. Therefore, the application of big data technology will be an important direction of water conservancy public opinion monitoring in the future.

　　Key words： big data;water conservancy;public opinion;monitoring analysis; intelligent analysis;platform