A News Index System for Global Comparisons of Many Major Topics on the Earth

  • Authors:

  • Tomoya Noro;Bin Liu;Yosuke Nakagawa;Hao Han;Takehiro Tokuda

  • Affiliations:

  • Department of Computer Science, Tokyo Institute of Technology, Japan;Department of Computer Science, Tokyo Institute of Technology, Japan;Department of Computer Science, Tokyo Institute of Technology, Japan;Department of Computer Science, Tokyo Institute of Technology, Japan;Department of Computer Science, Tokyo Institute of Technology, Japan

  • Venue:
  • Proceedings of the 2009 conference on Information Modelling and Knowledge Bases XX
  • Year:
  • 2009

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Abstract

In this paper, we propose a news index system which supports users who would like to observe difference in various topics (e.g. politics, economy, education, and culture) among countries/regions. General news sites just provide news articles and we can only read articles which we are interested in by using a keyword search engine or selecting some topic categories provided by each site. Our system has a large index word list, a news index database, and a news directory system. The word list is constructed, expanded, and updated by collecting topic keywords from various Web sites. The news directory system consists of the word list. News articles are collected by using keyword search engines which news sites provide, then index of the collected articles is stored in the database and classified by the news directory system. We can see the difference in various topics among countries/regions by observing co-occurrence of two or more words in the word list.