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基于语义的中文文本关键词提取算法
Alternative Titlesemantic-based keyword extraction algorithm for chinese text
王立霞; 淮晓永
2012
SourceComputer Engineering
ISSN1000-3428
Volume38Issue:1Pages:40912
English Abstract为克服传统关键词提取算法局限于字面匹配、缺乏语义理解的缺点,提出一种基于语义的中文文本关键词提取(SKE)算法。将词语语义特征融入关键词提取过程 中,构建词语语义相似度网络并利用居间度密度度量词语语义关键度。实验结果表明,与基于统计特征的关键词提取算法相比,SKE算法提取的关键词能体现文档 的主题,更符合人们的感知逻辑,且算法性能较优。
AbstractIn order to overcome the limitation of literal matching and lacking semantic concept of the traditional Keyword extraction algorithm,this paper presents a Semantic-based Keyword Extraction(SKE) algorithm for Chinese text.It uses semantic feature in the keyword extraction process and constructs word semantic similarity network and uses betweenness centrality density.Experimental results show that compared with the statistic based keyword extraction algorithm,the keywords SKE algorithm extracted are more reasonable and can represent more information of the documents topic,and the SKE algorithm has a better performance.
KeywordKeyword Extraction Semantic Similarity Word Semantic Similarity Network Betweenness Centrality Chinese Text
Department王立霞, 中国科学院软件研究所, 基础软件国家工程研究中心, 北京 100190, 中国. 淮晓永, 中国科学院软件研究所, 基础软件国家工程研究中心, 北京 100190, 中国.
SubjectComputer Science
Language中文
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/14656
Collection基础软件国家工程研究中心
Recommended Citation
GB/T 7714
王立霞,淮晓永. 基于语义的中文文本关键词提取算法[J]. Computer Engineering,2012,38(1):40912.
APA 王立霞,&淮晓永.(2012).基于语义的中文文本关键词提取算法.Computer Engineering,38(1),40912.
MLA 王立霞,et al."基于语义的中文文本关键词提取算法".Computer Engineering 38.1(2012):40912.
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