Detection and determination method of network navy

Abstract

The invention discloses a detection and determination method of a network navy. Three modules of user behavior acquisition, user behavior statistics and network navy classifier training are comprised. A flow comprises the user behavior acquisition, the user behavior statistics, network navy prediction, and network navy determination. The method of the invention is characterized by: after a user behavior sample is acquired, carrying out the statistics on the user behavior; then, using a machine learning method to establish a prediction model; finally, detecting the network navy. By using the method for detecting the network navy based on the user behavior of the invention, a disadvantage of a current mainstream technology can be made up. A tendentiousness identification problem can be avoided so as to solve the network navy detection and identification problem without an obvious tendency. Simultaneously, by using the method, an author does not need to publish a lot of posts with a same theme, which solves a group network navy detection problem. In addition, by using the method of the invention, the network navy detection possesses a clear organizational structure which is convenient for expanding subsequent network navy behavior characteristics.

Description

[technical field] [0001] The invention relates to the technical field of network analysis, in particular to a method for detecting and judging network trolls. [Background technique] [0002] As a new information dissemination medium, the Internet has become a distribution center for ideological and cultural information and an amplifier of public opinion. In the Internet age, the dissemination of information and the audience are scattered points of countless individuals. The audience is not only the receiver of information, but also the disseminator of information. Then there are some Internet personnel who are employed by Internet public relations companies to create momentum for others by posting and replying. These people collectively hype a certain topic or person on the Internet in order to achieve the purpose of publicizing, promoting or attacking certain people or products. [0003] "The employed 'network trolls' publish false or defamatory information on the Internet...

AI Technical Summary

Problems solved by technology

[0009] exist figure 2 In the network process of the prior art shown in the prior art, in the process of judging the online trolls, the author and text information must be extracted based on the webpage first. The extraction process must be accurate and no noise can be introduced, otherwise it will affect the tendency judgment in the later stage. and statistics; the user's opinion must have a tendency, so that the trained tendency classifier can be used to judge the user's point of view; and the user must publish multiple articles or replies with tendencies on the topic, so that able to make statistical judgments

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