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基于爬虫与文本挖掘的网络舆情监控系统是一款先进的工具，旨在实时监测和分析互联网上的舆论动态。该系统利用强大的爬虫技术从各种网络资源中获取数据，然后通过文本挖掘算法对数据进行深入处理和分析，以揭示网络上的热点话题、情感倾向和关键信息。管理员可以通过系统主页管理和监控用户信息，确保系统的高效运行。用户则能够访问自己的主页，查看和管理个人信息，同时浏览爬取到的网络舆情数据，了解公众对于特定话题的看法和态度。该系统提供了全面而准确的网络舆情分析，帮助企业和组织更好地理解公众对其产品和服务的观点，从而做出明智的决策和调整。无论是对于企业的市场推广，还是对于政府的社会管理，这个系统都具有重要的应用价值。
系统采用B/S架构，Python语言作为主要开发语言，MySQL技术创建和管理数据库。通过系统，管理员使用日常浏览器即可随时完成网络舆情信息发布，契合网络舆情监控管理对时效性需求的同时提高工作效率。最终，根据各个功能模块的测试结果可知网络舆情监控系统功能基本完善。
The network public opinion monitoring system based on crawler and text mining is an advanced tool for real-time monitoring and analysis of public opinion on the Internet. The system uses powerful crawler technology to obtain data from various network resources, and then deeply processes and analyzes the data through text mining algorithms to reveal hot topics, emotional tendencies and key information on the network. Administrators can manage and monitor user information on the system home page to ensure efficient system operation. Users will be able to access their home page, view and manage personal information, as well as browse online public opinion data to understand the public’s views and attitudes on specific topics. The system provides a comprehensive and accurate analysis of online public opinion, helping businesses and organizations to better understand the public’s views on their products and services, so as to make informed decisions and adjustments. Whether it is for the marketing of enterprises or for the social management of the government, this system has important application value.
The system uses B/S architecture, Python language as the main development language, MySQL technology to create and manage the database. Through the system, the administrator can use the daily browser to complete the network public opinion information release at any time, which meets the timeliness requirements of network public opinion monitoring and management and improves work efficiency. Finally, according to the test results of each functional module, we can see that the function of the network public opinion monitoring system is basically perfect.
Key words: Python language; Online public opinion; To excavate;
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