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Nlpir Parser sensitive information filtering system is how to solve the Internet problem, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

Nlpir Parser sensitive information filtering system is aimed at the needs of Internet content processing, and integrates the technologies of natural language understanding, network search and text mining. it can import a large number of user business sensitive keyword lists, realize real-time intelligent scanning of memory and files, and generate hit sensitive keywords, sensitive categories and weights and other information.

Application of Nlpir Parser sensitive Information filtering system

1. Sensitive content information filtering

Sensitive keywords can be set, articles and information keywords can be scanned, sensitive information, events, people and other information can be removed or crawled, which is suitable for website, publishing, Internet behavior management. By setting specific keywords, it can filter a large amount of junk information, purify the Internet environment, and is suitable for information collation of information websites and various forums.

2. Sensitive account scanning

By setting up a sensitive account or a group of sensitive accounts for scanning, we can track the Internet information such as the transmission path, weight, audience and social response of the relevant accounts, which is suitable for product and character tracking.

3. Real-time discovery of specific intelligence

It can quickly and easily match a large number of custom business keywords, intelligently find the content of bad information, achieve the purpose of purifying cyberspace and extracting information, and ensure the security of national, social and personal information content.

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 decision score effect feedback subsystem, which is characterized by the sensitive word detection subsystem, which realizes the inspection of sensitive data, that is, the original data is indexed within a certain time interval, and then through the check of the established index. Separate the data that contains sensitive information.

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