Online public opinion real-time monitoring system and method based on artificial intelligence

Abstract

The invention discloses an online public opinion real-time monitoring system and method based on artificial intelligence, belongs to the field of artificial intelligence public opinion monitoring, andsolves the problems of low public data processing efficiency, relatively high server resource requirements and low monitoring accuracy in the prior art, the online public opinion real-time monitoringsystem comprises a monitoring theme layer, and a monitoring frequency layer is connected below the monitoring theme layer; the monitoring frequency layer is connected with the information source layer, the information source layer is connected with the text feature layer, the text feature layer is connected with the public opinion model layer, the public opinion model layer is connected with thepublic opinion risk early warning layer, and the public opinion risk early warning layer is connected with the client. According to the invention, feature processing is carried out on the collected information through condition collection of the information collection layer and the text feature layer, so that early warning public opinion amount is greatly reduced, and meanwhile the public opinionrecognition accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent monitoring, in particular to a system and method for real-time monitoring of network public opinion based on artificial intelligence. Background technique [0002] Internet public opinion refers to the Internet public opinion with different views on social issues popular on the Internet. , Predisposed remarks and opinions. Internet public opinion is based on the network as the carrier, with events as the core, the expression, dissemination and interaction of the majority of netizens' emotions, attitudes, opinions, opinions, and subsequent influence. [0003] At present, the means of monitoring public opinion are mainly through the emotional analysis of natural language processing and semantic recognition methods to monitor and early warning of network public opinion, and through extensive collection of public information, and identification and statistics of public information, the current In...

AI Technical Summary

Problems solved by technology

[0005] In view of the problems in the prior art that the collection of public opinion information texts is relatively large and the recognition rate of text features is not high, the present invention provides a system and method for real-time monitoring of network public opinion based on artificial intelligence. Acquisition, improve the efficiency of information collection, reduce the amount of useless information collection, and adopt structural storage in the information collection layer to reduce the burden on server resources. Through the feature configuration of the text feature layer, the text information is numerically processed, which greatly reduces the text information processing difficulty

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