文章摘要
裴雷,孙建军.基于WordScore原理的信息政策价值评价模型与方法[J].数字图书馆论坛,2011,(8):61~70
基于WordScore原理的信息政策价值评价模型与方法
Evaluation Model of Information Policy Values Based on WordScore Theory: A Comparative Analysis of MIIT and MOST Information
  
DOI:
中文关键词: 信息政策;政策价值评价;WordScore词表;词频
英文关键词: Information policy, Policy values, Wordfiequency, WordScore, Vocabulary
基金项目:本文系江苏省高校哲学社会科学基金重点项目“两化融合战略下江苏省信息资源开发利用的战略、思路、模式、途径与政策研究”(项目编号:2010ZDCXM021)和江苏省教育厅哲学社会科学基金项目”基于概念统计的信息政策文本计算与实证”(项目编号:2011SJD870004)项目成果.
作者单位
裴雷 南京大学 
孙建军 南京大学 
摘要点击次数: 1943
全文下载次数: 1323
中文摘要:
      文章基于WordScore的基本原理和信息政策价值分类整合方法,构建了政策价值TESCO模型及词表,并以工信部和科技部的信息政策为样本,将政策文本进行语词切分,按照语词的价值属性建立“语词一政策价值”映射,从而提取文本的政策价值取向,并确定该文本或该领域的政策价值结构,比较不同领域的政策价值差异.
英文摘要:
      Taking policy documents as materials, this paper advocated a quantitative analysis method by word frequency calculating. Creating a information policy value model TESCO and its vocabulary, the paper took MITT and MOST as examples, collected all information policies and divided the policy document into words and words, calculated the word frequency to mining potential rules. Then it mapped the words with value vocabulary, and examined the common values and differences. At last, it gave some advice to both information policy development and analysis methodology acceptance.
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