水利舆情大数据分析平台设计及应用

Design and application of water conservancy public opinion big data analysis platform

摘要:

针对水利舆情及业务工作对互联网舆情大数据的需求，研究利用大数据、自然语言处理等技术，基于多模态智能分析架构，采用知识图谱、信息萃取、价值识别等手段，开展信息价值点、敏感点、关键点、发酵点的发现及标引和提取，建设水利舆情大数据分析平台。平台运行有效地推动舆情工作及水利业务工作的融合，扩大水利舆情工作的深度和广度，验证水利业务系统利用互联网维度数据途径的可行性，打开互联网维度数据与水利业务数据叠加的发展空间，提升舆情大数据的价值密度，可为水利部门户网站、河(湖)长制管理、水资源管理、水资源大数据分析等业务系统，提供业务数据支持和分析决策支撑。

Abstract:

According to the demand of water conservancy public opinion and business work for Internet public opinion big data, based on multi-modal intelligent analysis architecture, a water conservancy public opinion big data analysis platform is constructed by using big data, natural language processing and other technologies, using knowledge atlas, information extraction and value identification to find, index and extract information value points, sensitive points, key points and fermentation points. The operation of the platform effectively promotes the integration of public opinion work and water conservancy business work, expands the depth and breadth of water conservancy public opinion work, verify the feasibility of the water conservancy business system using the Internet dimension data approach, open the development space for the superposition of Internet dimension data and water conservancy business data, improve the value density of public opinion big data, which could provide business data support and analysis decision support for business systems such as the portal website of the Ministry of Water Resources, river and lake chief system management, water resources management and water resources big data analysis.