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Detection Mechanism of News-text matching based on Knowledge Graph

机译:基于知识图的新闻文本匹配检测机制

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Online news is an important means to spread information. However, in order to attract readers, some online news writers often add pictures that have nothing to do with the news content, which seriously affects the credibility of the media. To solve these problems, we propose a news detection mechanism based on the knowledge graph, which can enrich the news image description and use the news image description to calculate the sentence similarity with the news text, so as to identify whether a news belongs to the news image mismatch. The realization of the image-text matching detection mechanism of news enhance the credibility of social media and purify the network environment.
机译:在线新闻是传播信息的重要手段。然而,为了吸引读者,一些在线新闻作家经常添加与新闻内容无关的图片,这严重影响了媒体的可信度。为了解决这些问题,我们提出了一种基于知识图的新闻检测机制,可以丰富新闻图像描述并使用新闻图像描述来计算与新闻文本的句子相似性,以便识别新闻是否属于新闻图像不匹配。新闻的图像文本匹配检测机制的实现增强了社交媒体的可信度并净化了网络环境。

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