新闻门户网站关键词层次结构比较
Comparing the hierarchy of keywords in on-line news portals
摘要：
用信息性关键词标记在线内容是一种普遍现象，从科学文章库到博客再到在线新闻门户。在大多数情况下，给定项目上的标签是作者独立选择的自由词。因此，在一组新闻条目中关键词之间的关系是未知的。然而，在大多数情况下，这些关键词所描述的主题和概念形成了一个潜在的层次结构，更一般的主题和类别位于顶部，更专业的主题和类别位于底部。在这里，我们应用最近，共现为基础的标签层次结构提取方法，从四个不同的在线新闻门户网站获得的关键字集。由此产生的层次结构不仅在呈现为重要（位于层次结构的顶部）或不太感兴趣（在层次结构中分类较低）的主题上显示出实质性差异，而且在底层网络结构中也显示出实质性差异。这揭示了在所研究的新闻门户网站的似是而非的关键词关联框架之间的差异。
英文摘要：
The tagging of on-line content with informative keywords is a widespread phenomenon from scientific article repositories through blogs to on-line news portals. In most of the cases, the tags on a given item are free words chosen by the authors independently. Therefore, relations among keywords in a collection of news items is unknown. However, in most cases the topics and concepts described by these keywords are forming a latent hierarchy, with the more general topics and categories at the top, and more specialised ones at the bottom. Here we apply a recent, cooccurrence-based tag hierarchy extraction method to sets of keywords obtained from four different on-line news portals. The resulting hierarchies show substantial differences not just in the topics rendered as important (being at the top of the hierarchy) or of less interest (categorised low in the hierarchy), but also in the underlying network structure. This reveals discrepancies between the plausible keyword association frameworks in the studied news portals.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
