The Internet is one of the largest information resource libraries today. The timeliness and global interconnectivity of its information release make it have a huge impact on the development of the entire society. Due to the rapid development of Internet-related technologies, it has affected all aspects of daily life and has a revolutionary impact on the entire society. While the Internet provides people with unprecedented conveniences, it also facilitates the widespread dissemination of harmful information. The impact of this information, especially sensitive information, on society, especially minors, has increasingly aroused great concern. How to purify the network environment and effectively identify and filter harmful information has become an urgent problem that needs to be solved.
The common method is based on Chinese information processing technology and multi-pattern matching technology, combined with a word list trained by machine learning methods, which can effectively identify sensitive words and then identify harmful words. Sensitive word recognition requires the ability to handle several modes and combinations of modes such as "split words", "homophone words", "pinyin words", and "abbreviations". Sensitive word recognition technology helps users get rid of harmful information and further prevents the emergence of various uncivilized information contents. It can initiate timely and effective early warnings for various harmful information and strictly prevent such serious errors from being published in the newspapers.
Lingjiu Software Nlpir Parser sensitive information filtering system is aimed at the needs of Internet content processing. It integrates natural language understanding, network search and text mining technologies. It can import a large number of user business-sensitive keyword lists to achieve Real-time intelligent scanning of memory and files to generate hit sensitive keywords, sensitive categories, weights and other information.
Lingjiu software Nlpir Parser sensitive information filtering system application
1. Sensitive content information filtering
You can set sensitive keywords and scan for article content and information keywords , can eliminate or capture sensitive information, events, people and other information, and is suitable for website, publishing, and online behavior management. By setting specific keywords, a large amount of junk information can be filtered and the Internet environment can be purified. It is suitable for organizing information on information websites and various forums.
2. Sensitive account scanning
By setting one or a group of sensitive accounts for scanning, you can track the Internet information such as the communication path, weight, audience group and social response of the relevant account. It is suitable for Product and person tracking.
3. Real-time discovery of specific intelligence
It can quickly and easily match a large number of customized business keywords, intelligently discover the content of bad information, achieve the purpose of purifying cyberspace, extract intelligence, and ensure the national security , social and personal information content security.
The Nlpir Parser sensitive information filtering system consists of a sensitive word detection subsystem, a manual intervention operation subsystem, a sensitive information replacement subsystem and a sensitive word judgment score effect feedback subsystem. It is characterized by the sensitive word detection Subsystem, which implements the inspection of sensitive data, that is, indexes the original data within a certain time interval, and then separates the data containing sensitive information by checking the established index.
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