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SYSTEM FOR IDENTIFYING ARTICLES AND METHOD TO DETERMINE THE AUTHENTICITY OF PROPOSITIONS REFLECTING THE RELIABILITY OF MEDIA
SYSTEM FOR IDENTIFYING ARTICLES AND METHOD TO DETERMINE THE AUTHENTICITY OF PROPOSITIONS REFLECTING THE RELIABILITY OF MEDIA
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机译:用于确定文章和方法以确定反映媒体可靠性的命题真实性的系统
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摘要
According to an embodiment of the present invention, there is provided a method for learning a machine learning model for article discrimination performed by an article discrimination system reflecting the reliability of the media, the method comprising: receiving a target proposition for authenticity determination; performing web crawling based on the received target proposition to search for a related article, and calculating a similarity between the target proposition and a sentence included in the searched related article; determining a sentence as true, false, or neutral according to the calculated similarity of the sentence and setting a discriminant value; And article discrimination machine learning comprising the step of performing learning by inputting the information of the media that provided the related articles including the sentences, the discriminant values set in the sentences, and the sentences, as learning data, into the machine learning model for which the similarity was calculated. We want to provide a method for learning the model.
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