| 摘 要: 大数据时代下，网络舆情监测对政府合理控制舆情方向、进行舆情治理具有重要意义。网络舆情监测系 统主要根据网络舆情需求，构建在.NET平台下基于Entity Framework模型的网络舆情监测系统的C/S和B/S框架体 系。系统对信息采集、信息过滤、关键词挖掘、舆情主题分类等模块进行优化分析设计和实现。应用马尔可夫模型，将 舆情发展态势划分为生成期、发展期、极速发展期和衰退期，通过对历史数据的计算实现了舆情的未来发展区间。 |
| 关键词: 舆情监测；网页文本分析；网络爬虫；舆情预警；预测 |
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中图分类号: TP399
文献标识码: A
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| 基金项目: 本文系国家自然科学基金面上项目“基于个体情感模型的舆情传播机制研究”（项目编号：71671093）研究成果之一;国家自然科学基金青年项目“基于阈值的群体 事件互联网舆情传递链路预测及监控机制研究”（项目编号：71704085）研究成果之一；国家社会科学基金重大项目“中国社会应急救援服务体系建设研究”（项目 编号：16ZDA054）研究成果之一;本文受江苏高校哲学与社会科学优秀创新团队培育点（应急决策与舆情管理）资助（2017ZSTD022）. |
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| Analysis and Design of the Network Public Opinion Monitoring System |
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HONG Xiaojuan,ZONG Jiangyan,YU Jiankun,HUANG Weidong1,2
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1.( 1.Management School, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;2.
2.Jiangsu Information Service Decision Research Base, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
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| Abstract: Under the era of big data,network public opinion monitoring is of great significance for governments to reasonably control the public opinion direction and public opinion governance.To meet the requirements in the network public opinion,the network public opinion monitoring system mainly constructs the C/S and B/S framework system of the network public opinion monitoring system based on the Entity Framework model under the .NET platform.The system optimizes the analysis and design of modules such as information collection,information filtering,keyword mining,and lyric topic classification.The Markov model is applied to the system to divide the development situation of the public opinion into the generation period,the development period,the rapid development period and the recession period.The calculation of the historical data realizes the future development range of the public opinion. |
| Keywords: public opinion monitoring;web page text analysis;web crawler;public opinion warning;prediction |
