Public opinion monitoring system through the hot issues and focus on the website information, such as: webpage, forum, BBS, etc., for 24 hours monitoring, download the latest news and opinions at any time. After downloading, data format conversion and metadata indexing are completed. To download the local information, the preliminary filtering and preprocessing. To monitor hot issues and important areas, a knowledge base of public opinion monitoring must be built through interpersonal interaction to guide the process of intelligent analysis. Intelligent analysis of hot issues, first based on the traditional feature analysis technology based on vector space, the content to do classification, clustering and summary analysis, complete the initial reorganization of information. Then, under the guidance of monitoring knowledge base, semantic analysis based on public opinion is carried out to make the public situation and public opinion seen by managers more effective and more in line with reality. Finally, the monitoring results will be pushed to different functional departments for the formulation of countermeasures. According to the market survey, we sorted out the market share ranking of public opinion monitoring system companies:
No1. Wom-monitor WOM public opinion monitoring system uses distributed cloud computing search platform, adopts inverted zipper mode, developed public opinion monitoring system supports efficient search of massive information base and vertical crawl of various news blogs and other websites; Using natural language analysis and processing technology and its own algorithm of web page structure analysis, accurate analysis and judgment of the captured data, so as to provide accurate and effective Internet public opinion data services for government and enterprise customers. It is based on natural language understanding technology (including beyond keyword recognition technology, anti-monitoring technology, etc.), organizes content according to the topic, automatically analyzes and classifies a lot of content, and dynamically displays, tracks and evaluates its development trend, and timely combines with the website database. Monitor and give early warning to the discussion or hot events of relevant enterprises and governments, related websites, microblogs, forums, blogs, SNS, etc., to ensure the diversity of information sources, convenience of public opinion management, and high efficiency and completeness of public opinion monitoring. In terms of technology: compared with the traditional crawler technology used for public opinion, we have added natural language processing technology, automatic word segmentation technology, automatic keyword and automatic summary technology, full-text retrieval technology, similar search and weight loss, Internet information intelligent capture technology, search engine related technology through independent research and development and improvement over the years on the basis of crawler technology.
No2. Benguo Public opinion monitoring software: Benguo public opinion monitoring software is applicable to the network public opinion monitoring software used by public security, procuratorial, judicial, publicity and other government departments; And for enterprises to provide information consultation and network public opinion monitoring services. Beijing Benguo Information Technology Co., LTD. (hereinafter referred to as "Benguo") is a leading enterprise in the field of Chinese information monitoring in the world, and has always been committed to the research and development of online public opinion monitoring system, information collection and data mining technology innovation.
No. 3. Bangfu Internet public opinion monitoring System: Bangfu public opinion monitoring system based on web intelligent collection technology, can reach the minute-level update frequency every 5 minutes, at the same time, the system can support tens of thousands of websites at the same time for public opinion collection and analysis, using multi-threaded concurrent instruction execution architecture, incremental real-time index, intelligent word segmentation, correlation analysis and fuzzy matching and other advanced technologies. But the monitoring function of this system is relatively weak. It mainly uses SAAS accounts.
