Author(s)

Gang Liu, Tengfei Li, Wangyang Liu, Yang Cao, Yudan Du

Corresponding Author

Gang Liu

ABSTRACT

The analysis of the policy text are drawing more and more attention in the domain of policy research, becoming an urgent and important problem to be solved in the progress of legal institution in our nation. This thesis puts forward a method to mine and validate the policy genome by the reduction of the state space. Firstly this method preprocesses policy text by the natural language processing technology, and sets up the reasonable expression dimension of policy text by automated-summary-based state space reduction method. Then, based on the state space reduction of policy text, this thesis introduces the concept of policy lineage, and carries out the relevant definition and acquisition of the policy genome by the combination of the nature of biological gene in genetics. Finally, this thesis uses the dominant genes of the policy to calculate of text similarity. When the difference between dominant-gene-based policy text similarity data and traditional policy text similarity data exceeds a certain threshold, then policy latent gene will be mined, and this thesis puts policy dominant gene and latent gene together as a part of policy genome, thus to achieve the goal to calculate the similarity with policy genome instead of policy text.

KEYWORDS

Domain Policy, State Space, Automatic Summary, Policy Genome