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在新时期,积极分析互联网中所存在以及发生的舆情,给予预警的同时,提出预控措施成为了当前的重要任务。本文以微博消息为研究对象,基于K-means算法完成对微博消息的聚类定量分析,找到所要分析的某类微博内容,进而在这类微博中找出微博消息意见领袖,提出微博意见领袖影响力评估算法,完成微博消息预警模块的实现,对微博舆情监测分析系统进行了研究。
In the new era, while proactively analyzing the public opinion and the public opinion in the Internet and giving early warning, it is now an important task to put forward the measures of pre-control. Based on the K-means algorithm, this paper completes the clustering quantitative analysis of Weibo messages, finds some kinds of Weibo content to be analyzed, and then finds the Weibo news opinion leaders in this kind of Weibo, Put forward the microblogging opinion leader influence evaluation algorithm, completed the implementation of the microblogging message warning module, and conducted research on the microblogging public opinion monitoring and analysis system.