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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：确定文章的系统和方法，确定反映媒体可靠性的提案的真实性
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摘要
A method of learning a machine learning model for discriminating articles performed by an article discrimination system reflecting the reliability of the media, according to an embodiment of the present invention, comprising: receiving a subject proposition for authenticity discrimination; Searching a related article by performing a web crawl based on the received target proposition, and calculating a similarity between the target proposition and the sentence included in the searched related article; Determining a sentence as true, false, or neutral according to the similarity of the calculated sentence and setting a discrimination value; And inputting information of the media that provided the relevant article including the sentence, the discrimination value set in each sentence, and the sentence in which the similarity was calculated as learning data into the machine learning model and performing learning. I would like to provide a model learning method.
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