Network speech monitoring method, equipment and system thereof

Abstract

Embodiments of the invention disclose a network speech monitoring method. The method comprises the following steps: acquiring a network speech published by a user; determining whether the network speech matches with a preset identification rule; if the network speech matches with the preset identification rule, marking corresponding identification for the network speech; according to a logic corresponding relation between the preset identification and a control mode, using the control mode corresponding to the identification of the network speech to carry out safety control on the network speech. The embodiments of the invention also disclose network speech monitoring equipment and system thereof. By using the method, the equipment and the system of the invention, unsafe network speech can be effectively filtered and security protection to the network speech is improved.

Description

technical field [0001] The invention relates to the technical field of network speech security monitoring, in particular to a network speech monitoring method, device and system. Background technique [0002] With the popularization of the Internet, more and more people use the Internet to communicate, such as: Internet messages, Internet comments, publishing various Internet speeches, etc. The convenience of the Internet brings convenience to people's lives, but also makes many malicious people Molecules can take advantage of them. For example, malicious elements use the Internet to publish information about winning fraud, advertisements, and malicious speeches, which has a very bad impact on network applications and seriously damages the user's business experience. [0003] See figure 1 , is a schematic diagram of the structure of the existing network speech system. The user publishes online comments through the client (such as: online messages, forum comments, etc.), th...

AI Technical Summary

Problems solved by technology

Existing security monitoring solutions for online speech often consider the online speech as unsafe online speech when it is judged that there is a matching keyword in the online speech, and then take corresponding control methods to control it. The method of judging a piece of online speech is too hasty and arbitrary, and it is easy to affect the user's business experience

[0007] 2. It is difficult to define neutral words, and it is easy to form control blind spots

Existing security monitoring solutions for online speech are difficult to deal with vague neutral words, such as the word "prize". In communication, the word may be a normal speech made by the user; for this type of neutral word, existing solutions often cannot accurately judge and deal with it, so it may cause many blind spots in security control, thereby reducing the security protection of online speech intensity

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