计算机应用研究2017，Vol.34Issue(8)：2278-2281,4.DOI:10.3969/j.issn.1001-3695.2017.08.008
基于超图的汉越双语新闻话题要素提取
Extraction of news topic elements for Chinese Vietnamesebilingual based on hypergraph
摘要
Abstract
This paper studied the problems of news topic elements in the Chinese and Vietnamese bilingual news topic text collections.Based on hypergraph model extracted,it used the PageRank random walk ordering method.First according to the trigger word incentive method,it extracted the news event elements, and then on the basis of this,it constructed topic hypergraph model.It took the Chinese and Vietnamese elements as nodes and the sentences of text collection as a hyper-edge,it calculated the initial weights of nodes and hyperedges according to probability evaluation function.Finally,it used the PageRank random walk method to score the elements of the Chinese-Vietnamese event,and finally obtained the elements of the Chinese-Vietnamese topic.Results show that the proposed method can significantly improve the extraction performance compared to the method only considered single text event feature extraction.It shows the accuracy of extraction of news topicby PageRank me-thod based on hypergraph elements.关键词
汉越双语/事件要素/超图/随机游走/话题要素Key words
Chinese and Vietnamese/event elements/hypergraph/random walk/topic elements分类
信息技术与安全科学引用本文复制引用
涂子令,周枫,余正涛,严馨,洪旭东..基于超图的汉越双语新闻话题要素提取[J].计算机应用研究,2017,34(8):2278-2281,4.基金项目
国家自然科学基金资助项目(61562049) （61562049）
