%0 Journal Article
%T News Topic Detection Approach on Chinese Microblog<br>一种中文微博新闻话题检测的方法
%A ZHENG Fei-ran
%A MIAO Duo-qian
%A ZHANG Zhi-fei
%A GAO Can
%A <br>郑斐然
%A 苗夺谦
%A 张志飞
%A 高灿
%J 计算机科学
%D 2012
%I 
%X The popularity of microblogging brings another form of social news media. The paper proposed an approach of news topics mining from microblog. News topics were formed by finding the emerging keywords in large numbers and clustering them. To extract news keywords,a compound weight was introduced combining the word frequency and the growth, to measure the likelihood of a word to be a news keyword, and to construct the topic, contextual relevance model was used to support incremental clustering, which is more suitable to the problem compared with semantic similarity. The experiments on real world microblog data show the effectiveness of the approach to detect news topic out of massroc mcssagcs.
%K Microblog
%K News
%K Topic detection
%K Clustering<br>微博
%K 新闻
%K 话题检测
%K 聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=1A50AD49C0C9494999C8A10CBCC99EFB&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=CA4FD0336C81A37A&sid=09E495F616948E78&eid=A8DE7703CC9E390F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=12