面向广东基层公安的网络舆情监控系统设计与实现
发布时间：2018-09-07 08:00
【摘要】：网络舆情是指在互联网上流行的对社会问题的不同看法,是社会舆论的一种表现形式,是通过互联网传播的,公众对现实生活中某些热点、焦点问题所持的有较强影响力、倾向性的言论和观点。加强网络舆情信息工作有利于正确引导社会舆论,从而不断维护社会稳定、和谐,是基层网络监察在新时期的复杂环境下需要重点应对的工作,从这一点出发提出了基于内容特征的web网络舆情系统。论文在分析研究了网络舆情处理的信息采集技术、网络爬虫技术、数据挖掘技术等关键技术基础上,面向基层网络监察的现实工作需求,设计并实现了网络舆情监控系统,该系统分为舆情信息采集、舆情信息处理、舆情信息分析3个主要的功能模块,采用DOM树和改进的PageRank模型处理网页,为后期的文本处理奠定良好的数据基础;在文本处理阶段,采用TFIDF法来计算特征词的权值、利用决策树对文档进行分类、采用层次凝聚类的方法对文本进行聚类,从而有效提升文本处理的效率和精度;最后,通过综合信息量的发展趋势和情感指数的发展趋势,得到一个网络舆论随时间的发展趋势,系统实验环节得到的实验结果,验证了论文研究和设计系统的有效性。实际应用测试表明,该系统能较好实现基于Web的网络舆情的管理需求,实现完善的舆情监控及为辅助决策者做出准确的决策,同时有效的网络舆情信息监管技术也会在很大程度上降低基层网络监察的工作强度、提升工作效率。
[Abstract]:Internet public opinion refers to the different views on social problems that are popular on the Internet. It is a form of expression of social public opinion, which is transmitted through the Internet. The public has a strong influence on some hot spots and focal issues in real life. Tendentious remarks and opinions Strengthening the work of network public opinion information is conducive to the correct guidance of public opinion, so as to constantly maintain social stability and harmony, is the grass-roots network supervision in the complex environment in the new era needs to focus on the work, From this point of view, a web network public opinion system based on content features is proposed. On the basis of analyzing and studying the key technologies of network public opinion processing, such as information collection technology, network crawler technology, data mining technology and so on, the paper designs and implements a network public opinion monitoring system. The system is divided into three main functional modules: public opinion information collection, public opinion information processing and public opinion information analysis. The system adopts DOM tree and improved PageRank model to process web pages, which lays a good data foundation for the later text processing. TFIDF method is used to calculate the weight of feature words, decision tree is used to classify documents, and hierarchical aggregation class is used to cluster the text, which can effectively improve the efficiency and accuracy of text processing. By synthesizing the development trend of information quantity and the development trend of emotion index, a network public opinion development trend with time, the experimental results obtained from the system experiment link are obtained, and the validity of the research and design system is verified. The practical application test shows that the system can realize the management requirement of network public opinion based on Web, realize perfect monitoring of public opinion and make accurate decision for assistant decision maker. At the same time, effective network public opinion information supervision technology will greatly reduce the work intensity of grass-roots network supervision and improve work efficiency.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09
本文编号：2227678
[Abstract]:Internet public opinion refers to the different views on social problems that are popular on the Internet. It is a form of expression of social public opinion, which is transmitted through the Internet. The public has a strong influence on some hot spots and focal issues in real life. Tendentious remarks and opinions Strengthening the work of network public opinion information is conducive to the correct guidance of public opinion, so as to constantly maintain social stability and harmony, is the grass-roots network supervision in the complex environment in the new era needs to focus on the work, From this point of view, a web network public opinion system based on content features is proposed. On the basis of analyzing and studying the key technologies of network public opinion processing, such as information collection technology, network crawler technology, data mining technology and so on, the paper designs and implements a network public opinion monitoring system. The system is divided into three main functional modules: public opinion information collection, public opinion information processing and public opinion information analysis. The system adopts DOM tree and improved PageRank model to process web pages, which lays a good data foundation for the later text processing. TFIDF method is used to calculate the weight of feature words, decision tree is used to classify documents, and hierarchical aggregation class is used to cluster the text, which can effectively improve the efficiency and accuracy of text processing. By synthesizing the development trend of information quantity and the development trend of emotion index, a network public opinion development trend with time, the experimental results obtained from the system experiment link are obtained, and the validity of the research and design system is verified. The practical application test shows that the system can realize the management requirement of network public opinion based on Web, realize perfect monitoring of public opinion and make accurate decision for assistant decision maker. At the same time, effective network public opinion information supervision technology will greatly reduce the work intensity of grass-roots network supervision and improve work efficiency.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09
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