文档介绍：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
学院:
专业:
学生姓名:
学号:
指导教师:
年月日
中文摘要
随着网络技术应用的普及和发展,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。
本文以微博消息为研究对象,研究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
Abstract
Along with the universal application and rapid development work technology, the approaches that -mediated public sentiment spread have been fundamentally changed. -mediated public sentiment has exerted huge influence on the way that the society operates. As the one of the most significant parts of -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-munication convenience, back on the face and other characteristics, and raised an effective algorithm to sort these kinds of messages. Using the spatial vector model, the K-means algorithm did cluster analysis on microblog messages, and found out the opinion leaders among tremendous messages. Then, an influential estimation algorithm of the microblog opinion leaders was raised,WeiboRank algorithm. Together with the estimation algorithm, we also achieved the early warning part and some basic data warning analysis functions on the whole microblog-mediated public sentiment platform.
Key words:microblog-mediated public sentiment, text clustering, trend anal