基于大数据的高校贴吧舆情分析系统设计与开发

Design and Development of University Post Bar Public Opinion Analysis System Based on Big Data

摘要: 随着计算机存储能力的提升和复杂算法的发展，近年来数据量呈指数级发展。各行各业的决策正从“业务驱动”转变为“数据驱动”。我们应该利用大数据的海量处理与智能分析能力，准确抓取时代热点数据。百度贴吧为全国大多数高校所拥有，在此栏目下，贴吧数据信息量大且比较分散。当今，迫切需要一种高效率、高准确率的舆情分析系统。在此基础上本文重点分析了基于大数据环境下的高校贴吧舆情分析系统的数据流程设计和架构设计，以及设计过程中的技术线路。区别于热搜、百度指数等专职于分析用户行为数据的平台，本系统完全创新，技术性更强，专业性更高。

Abstract: With the improvement of computer storage capacity and the development of complex algorithms, data volume has developed exponentially in recent years. Decision-making in all walks of life is changing from “business-driven” to “data-driven”. We should make use of the massive processing and intelligent analysis ability of large data to accurately grasp the hot data of the times. Baidu Post Bar is owned by most universities in the country. Under this column, the data of Post Bar is large and scattered. Nowadays, there is an urgent need for an efficient and accurate public opinion analysis system. On this basis, this paper focuses on the analysis of the data design and architecture design of the public opinion analysis system based on the large data environment, as well as the technical lines in the design process. Different from hot search, Baidu Index and other platforms specializing in analyzing user behavior data, this system is completely innovative, more technical and more professional.