我国安全情报相关政策量化评价--基于PMC模型的文本分析  

Quantitative Evaluation of Security Intelligence Policy Texts in China:Text Analysis Based on PMC Model

作　　者：张斌 ZHANG Bin(School of Public Administration and Law,Hunan Agricultural University,Changsha 410000)

机构地区：[1]湖南农业大学公共管理与法学学院,长沙410000

出　　处：《科技情报研究》2024年第3期83-97,共15页Scientific Information Research

基　　金：国家社会科学基金重点项目“总体国家安全观下的国家情报工作制度创新研究”(编号:20ATQ004);2023年湖南省研究生科研创新立项重点项目“数据交易制度视角下的我国公共数据开放保障研究”(编号:CX20230733)。

摘　　要：[目的/意义]分析评价我国安全情报相关法律法规和政策,既能够为法律法规和政策制定提供参考,也能够有效丰富我国总体国家安全观的内涵。[方法/过程]运用LDA主题模型,对我国安全情报法律法规和政策进行文本挖掘,提取其中的主题词。同时,结合已有学者在政策评价指标方面的研究成果,科学遴选设计出我国安全情报法律法规和政策评价指标。参照总体国家安全观的内容,选择其中具有代表性的若干项政策内容进行基于PMC指数模型的分析。[结果/结论]按照随机抽样的方法选择12条政策文本,其中约83.3%的国家安全情报相关法律法规政策的一致性可以接受,特别是全国人大常委会制定的相关法律一致性较高。目前我国现行的安全情报相关法律法规涵盖的重点在传统安全领域,对非传统安全领域关注较少;相关政策工具使用较为合理;现行的政策优势在于传统安全领域,施行的政策能够较好地发挥作用,弱点在于尚未形成纵向贯通上下层级,横向覆盖各个领域的安全情报相关法律法规政策网络。文章为政策文本的分析提供了新的工具和视角,但是在指标选取和赋值方面可以进一步优化,以提升结论的可信度。[Purpose/significance]Analyzing the laws,regulations and policies related to security intelligence in China can not only provide reference for decision-making,but also effectively enrich the connotation of China's overall national security concept.[Method/process]Using the LDA topic model,text mining was conducted on laws,regulations and policies related to security intelligence in China,and theme words were extracted from them.At the same time,based on the selection of policy indicators by existing scholars,scientifically select and design evaluation indicators for China's security intelligence laws,regulations,and policies.Referring to the overall national security concept,several representative policy contents were selected for analysis based on the PMC index model.[Result/conclusion]According to the random sampling method,12 policy texts were selected,among which about 83.3%of China's security intelligence related laws,regulations and policies have acceptable consistency,especially the relevant laws and regulations formulated by the Standing Committee of the National People's Congress have high consistency and are acceptable.At the same time,the current laws and regulations related to security intelligence in China mainly focus on traditional security fields,with less attention paid to non-traditional security fields;The use of relevant policy tools is relatively reasonable;The current policy advantage lies in the fact that the policies implemented in the traditional security field can play a good role,while the weakness lies in the lack of a vertical network of security intelligence related laws,regulations and policies that cover various fields horizontally.This paper provides new tools and perspectives for analyzing policy texts,but further optimization can be made in indicator selection and assignment to enhance the credibility of conclusions.

关 键 词：PMC模型 安全情报 法律法规研究 总体国家安全观 政策量化 文本挖掘 

分 类 号：G353[文化科学—情报学]