Analyzing Multiple News Sites by Contrasting Articles
Analyzing Multiple News Sites by Contrasting Articles
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DOI：
10.1109/sitis.2008.42
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发表时间：
2008-11
期刊：
影响因子：
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通讯作者：
Masaharu Yoshioka
中科院分区：
文献类型：
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作者：
Masaharu Yoshioka
今天，人们可以访问不同国家的大量新闻网站，并且有几个实验系统，如Newsblaster和NewsExplorer，可以整合来自多个新闻网站的关于特定事件的新闻文章。这些系统通过使用多个新闻站点来很好地理解特定事件，但是它们忽略了各个新闻站点的特征。为了表征新闻网站之间的差异，新闻网站对比度（NSContrast）系统已被提出。该系统使用对比集挖掘的概念对多个新闻站点进行分析.然而，NSContrast只有有限的分析功能，还不够成熟，无法通过用户实验进行评估。因此，在本文中，我们分析对比集挖掘结果的NSContrast，旨在了解提取有用的信息，也反映了不同国家的利益的要求。基于此分析，一个新的NSContrast被引入并应用于一个新闻文章数据库，该数据库是从不同国家的多个新闻网站构建的，用于用户实验。
Today, there is access to large numbers of news sites in different countries, and there are several experimental systems, such as Newsblaster and NewsExplorer, that integrate news articles about a particular event from multiple news sites. These systems enable a good understanding of particular events by using multiple news sites, but they ignore the characteristics of the various news sites. To characterize the differences between news sites, the News Site Contrast (NSContrast) system has been proposed. This system analyzes multiple news sites using the concept of contrast- set mining. However, NSContrast has only limited analysis functions and is not mature enough for evaluation via user experiments. Therefore, in this paper, we analyze contrast set mining results for NSContrast, aiming to understand the requirements for extracting useful information that also reflects the interests of different countries. Based on this analysis, a new NSContrast is introduced and applied to a news article database constructed from multiple news sites in different countries for user experimentation.