%0 Journal Article
%T Keyphrase extraction based on topic feature<br>基于主题特征的关键词抽取
%A LIU Jun
%A ZOU Dong-sheng
%A XING Xin-lai
%A LI Ying-hao
%A <br>刘　俊
%A 邹东升
%A 邢欣来
%A 李英豪
%J 计算机应用研究
%D 2012
%I 
%X Keyphrase extraction is a process for extracting a set of terms from a document. This paper proposed a novel topic feature for extracting keyphrase. This topic feature was computed based on topic model which modeled the topic-word distributions and the topic distributions of document. Moreover, it proposed a keyphrase extraction approach based on bagged decision trees. This approach jointed common features and the proposed topic feature. Experimental results demonstrate that the proposed topic feature can make an improvement for keyphrase extraction. At the mean time, an effective performance can be achieved by the bagged decision trees based approach.
%K keyphrase extraction
%K topic feature
%K topic model
%K bagged decision trees<br>关键词抽取
%K 主题特征
%K 主题模型
%K 装袋决策树
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF250AD332A335D7BFD387281F9B689C&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=83E9F07EB7F05B82&eid=264A126AED046C80&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15