学位论文-—微博舆情管理平台：数据分析系统的设计与实现

毕业设计（论文）中文题目：微 博 舆 情 管 理 平 台 数据分析系统的设计与实现英文题目: MicroBlog Public Opinion Management Platform: The Design and Implementation of the Data Analysis System中文摘要随着网络技术应用的普及和进展，舆情的传播方式和传播速度都发生了根本性变化, 网络舆情对人类的社会状态产生了全方位的影响，微博舆情则是网络舆情的重要组成部分，它的特点有：直接性，突发性，偏差性，丰富性和互动性。本文以微博消息为讨论对象，讨论了微博消息传播的特点与模型，通过对抓取数据的分析发现了微博传播的单向性，便捷性，背对脸等特点，还有微博意见领袖在微博传播中的重要作用，微博热点的产生规律。根据对数据分析的结果提出了趋势分析的算法。利用空间向量模型完成对微博内容的结构数据化，利用 K-means 算法完成对微博消息的聚类分析，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，WeiboRank 算法，并结合算法完成了微博消息预警模块的实现，初步实现了微博舆情管理平台的数据预警分析功能。关键词：微博舆情 文本聚类 趋势分析 AbstractAlong with the universal application and rapid development of network technology, the approaches that the net-mediated public sentiment spread have been fundamentally changed. The net-mediated public sentiment has exerted huge influence on the way that the society operates. As the one of the most significant parts of the net-mediated public sentiment, the public sentiment which is produced and spread by the microblog has several important characters, such as directness, immediacy, deviation, variability, interactivity.Taking the microblog messages as our investigating subject, this paper aimed to do research on the characteristics and models of delivering messages between microblog users, Through the analysis of the capture data found unidirectional, micro-blog communication convenience, back on the face and other characteristics, and raised an effective algorithm to sort the...