%0 Journal Article
%T Blog automatic summarization based on features information<br>一种基于特征信息的Blog自动文摘研究*
%A CHEN Ming
%A WANG Bang-jun
%A ZHAO Peng-peng
%A CUI Zhi-ming
%A <br>陈明
%A 王邦军
%A 赵朋朋
%A 崔志明
%J 计算机应用研究
%D 2011
%I 
%X To help extract the summary of a Blog effectively, first selected a number of comments in the Blog in a reasonable way.Then,based on considering word frequency in the sentence, this paper calculated the weight of the sentence in the Blog, combined with structured information and the selected comments. However, this method was easy to neglect the minor subject.After that,to overcome the drawback, proposed a solution of secondary abstract extract through the characteristics of paragraph form in the Blog. Finally, an experiment was done with Blog data random downloaded on the Internet, demonstrating the method has a better spreadability and generality.
%K Blog summary
%K comment
%K feature information
%K subject coverage<br>博客摘要
%K 评论
%K 特征信息
%K 主题覆盖
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE072B0F8538658BE1FDD&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=00FA06523CF1EBF1&eid=765722FEE8BEC786&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8