This paper describes how to apply natural language processing technology in the development of automatic monitoring functions, improving the accuracy, versatility, configurability and loose coupling of the process of automatic monitoring and acquisition of open knowledge resources. The application of the natural language processing technology can extract important keywords and entities and similarity match with configuration item which configured by users. Finally, based on the matching results, system can determine whether the target is focused. so as to achieve the goal of automated monitoring. This method has been applied in the development of IIBD platform and has a positive effect. This study has improved the traditional fixed-source monitoring method. The accuracy of monitoring results was improved, and configuration of monitoring parameters were optimized and simplified, and versatility and loose coupling of functions were increased.