关键词: 政策文本计算, 政策内容分析, 互联网租赁自行车, 文档主题生成模型（LDA）, 内容分析方法

Abstract:

Policy text computing is the product of the integration of information science, policy science and computational science. Through policy text computing, we analyze and study the contents of policy documents and policy reviews, making the policy making process more scientific and effective. First, we use keyword extraction to extract policy framework from policy documents. Secondly, cluster analysis of policy review data is conducted by thematic analysis. Thirdly, co-word analysis method is used to computing the intensity data of the collected policy documents and policy reviews. Finally, the policy contents are analyzed based on the computing data. By optimizing coding rules, the article improves the fineness of data extraction. The validity of the policy content analysis method based on the policy text computing is demonstrated by using the Internet renting bicycle as an example. This method provides a new way of thinking for the future policy analysis.

Key words: Policy text computing, Policy content analysis, Internet renting bicycles, Latent Dirichlet Allocation(LDA), Content analysis method