Detailed Analysis of the Technical Characteristics of Public Opinion Monitoring
The public opinion monitoring system supports real-time crawling of emerging Internet data from WeChat, Weibo, blogs, forums, videos and other online sources, enabling timely data collection and analysis. It provides comprehensive public opinion services for government agencies and enterprises, including sensitive incident early warning, information monitoring, online event analysis, competitor product analysis, public opinion briefings, and large-screen command systems.
It helps governments and enterprises respond promptly, actively guide and make strategic arrangements regarding social hot topics, emergencies and competitive information.
Public Opinion Monitoring System
Coverage of the Public Opinion Monitoring System:
The system supports the collection of information including, but not limited to, newspapers, websites, forums, blogs, Weibo and WeChat official accounts. It automatically filters invalid data, with a collection frequency reaching the minute level and 7×24-hour automatic acquisition.
The daily updated collection volume reaches one million entries, and the system supports cloud computing storage and big data retrieval.
In-depth Monitoring of the Public Opinion Monitoring System:
The system can conduct in-depth monitoring and timely updates of targeted information sources by designating websites and URLs, supporting keyword search collection and following user information. The system monitors no fewer than 100,000 websites, 50,000 forums and 500 electronic newspapers, with scalable targeted monitoring available on demand.
Intelligent Crawling Public Opinion Monitoring System:
The system features automatic discovery and dynamic tracking mechanisms for collection tasks, enabling full-network crawling within a limited scope. It can automatically invoke mainstream search engines such as Baidu, Google and 360 to capture keyword-based information, further expanding the monitoring coverage.

Collection Platform of the Public Opinion Monitoring System:
It performs data collection across the entire network, using a large number of collection servers to ensure efficient operation and rapid response. Collected data is stored on enterprise data servers.
Public Opinion Monitoring Module:
Its main function is to conduct data collection through various mechanisms via the collection platform, followed by data cleaning, integration and presentation of the final dataset through a series of workflows.
Data Analysis of the Public Opinion Monitoring System:
It conducts indicator analysis and statistical work on the collected data.
Public Opinion Mining of the Monitoring System:
It re-mines in-depth and implicit useful information from the data for a second or multiple times.
Public Opinion Service of the Monitoring System:
It provides convenient data and social services for users, such as information push and alerts.
Scenario Application of the Public Opinion Monitoring System:
With the advent of the big data era, big data-driven public opinion monitoring systems have undergone tremendous changes in data volume, complexity and speed.
The big data public opinion monitoring system serves as the foundation and benchmark for online public opinion guidance. Transforming traditional online public opinion guidance concepts with big data thinking and accurately grasping the inherent characteristics and evolutionary laws of online public opinion carries important theoretical and practical value in guiding online public opinion and maintaining cyberspace security.
Shanghai High-New Tech Enterprise
Mitong GEO
Mitong PR Release
Mitong OM
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