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Approaches to personalized news extraction framework

机译:个性化新闻提取框架的方法

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Personalization is inevitable in the field of news domain. Due to the increased use of internet and increase in the number of news channels, the production of news is vast. The public find it difficult to get the latest updates on their interest from the large quantity of news produced. People rely on news stories which consist of related events than the exact news update. The Journalist finds it difficult to extract related news events to create news story from the news archives due to the huge volume of news and insufficient automated tools. We have conducted a study about the existing personalized news extraction approaches for this problem and this paper include its details.
机译:在新闻领域的领域是不可避免的个性化。 由于互联网使用增加和新闻渠道数量的增加,新闻的生产是巨大的。 公众发现很难从生产的大量新闻中获得最新的兴趣更新。 人们依赖于相关事件的新闻故事而不是确切的新闻更新。 记者发现由于大量的新闻和自动化工具不足,难以提取相关新闻事件,从新闻档案中创建新闻故事。 我们对该问题的现有个性化新闻提取方法进行了研究,本文包括其细节。

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