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相关词句采集与分析研究
引用本文:沈阳,朱婵元,周子轩.相关词句采集与分析研究[J].图书情报工作,2009,53(22):40-43.
作者姓名:沈阳  朱婵元  周子轩
作者单位:1. 武汉大学信息资源研究中心;2. 武汉大学计算机学院;
基金项目:国家自然科学基金杰出青年科学基金,教育部社会科学基金 
摘    要:针对目前互联网中相关词句集来源狭窄、没有对相关词的相关性判定公式进行多角度考虑和深层次理论分析等问题,实现相关词采集和分析原型,通过对相关词句集进行去重处理,并利用RSIS、RMRD和DDRW三种方法进行相关词重新排序。将相关词分成五类进行相关词特性分析,并在实证实验中对搜索引擎进行人工和机器混合评测。

关 键 词:相关词  相关性  元搜索引擎  排序算法  
收稿时间:2009-04-06

Related Words Acquisition and Analysis
Shen Yang,Zhu Chanyuan,Zhou Zixuan.Related Words Acquisition and Analysis[J].Library and Information Service,2009,53(22):40-43.
Authors:Shen Yang  Zhu Chanyuan  Zhou Zixuan
Institution:1. The Center for the Studies of Information Resources, Wuhan University;2. School of Computer Science, Wuhan University;
Abstract:Confronted with the narrow sources of the words and phrases set in current Internet and deficient multi angle consideration and in depth theoretical analysis on the formula judging the pertinence of related words,the authors achieve the aim of gathering related words and analyzing archetype through retreatment and rearrangement of related words by taking advantage of RSIS, RMRD, DDRW. In addition, the authors analyze the characteristics of the related words based on five types and make an empirically mixed assessment about search engine not only by human but also by machine.
Keywords:related words  correlation  meta search engine  sorting algorithm  
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