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タイトル
和文: 
英文:Detection of Breaking News from Online Web Search Queries 
著者
和文: 村田 剛志.  
英文: Tsuyoshi Murata.  
言語 English 
掲載誌/書名
和文: 
英文:New Generation Computing 
巻, 号, ページ Vol. 26    No. 1    pp. 63-73
出版年月 2008年1月 
出版者
和文:オーム社 
英文:Ohmsha 
会議名称
和文: 
英文: 
開催地
和文: 
英文: 
DOI https://doi.org/10.1007/s00354-007-0035-3
アブストラクト Many people enter queries to Google or Yahoo! in order to search useful information from the Web. Queries given to search engines can be regarded as the resources for detecting people's information needs. It is often reported that many people perform search intensively after worldwide disasters or accidents. This paper describes a method for detecting such breaking news from search queries that are available online. In our method, real time search queries are obtained and filtered with news words extracted from a news site. Experimental results show that our method has abilities of detecting breaking news from more than 25 million search queries for six months.

©2007 Tokyo Institute of Technology All rights reserved.