计算机应用研究2012，Vol.29Issue(11)：4224-4227,4.DOI:10.3969/j.issn.1001-3695.2012.11.056
基于主题特征的关键词抽取
Keyphrase extraction based on topic feature
摘要
Abstract
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 a-chieved by the bagged decision trees based approach.关键词
关键词抽取/主题特征/主题模型/装袋决策树Key words
keyphrase extraction/ topic feature/ topic model/ bagged decision trees分类
信息技术与安全科学引用本文复制引用
刘俊,邹东升,邢欣来,李英豪..基于主题特征的关键词抽取[J].计算机应用研究,2012,29(11):4224-4227,4.基金项目
中国博士后科学基金资助项目(20110490807) （20110490807）
中央高校基金科研业务资助项目(CDJXS10181131) （CDJXS10181131）
