False news detection method based on knowledge perception attention network
A technology of attention and news, applied in the field of artificial intelligence, can solve problems such as insufficient understanding of news texts
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[0068] The present invention proposes a false news detection method based on knowledge perception attention network, the main process of the method is as follows figure 1 shown. Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0069] The specific implementation process of the present invention is divided into six steps: obtain the news data set; extract the entity and entity context in the knowledge map as external knowledge according to the news text; encode the news text; encode the entity and the entity context; design attention Force mechanism, which assigns weights to entities and entity contexts; integrates news representation, entity representation and entity context representation, and classifies through a deep neural classification model. The following is a detailed description of the six-step implementation process:
[0070] 1. Data set acquisition;
[0071] After obtaining the news fr...
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