원문정보
초록
영어
With the continuous increase of science and technology policy, how to find valuable information from the massive scientific and technological policies has becoming an urgent problem to be solved. Thus, this paper proposes a subject discovery method for large scale science and technology policy set. Based on LDA subject model for science and technology policy document subject modeling, this approach extracts time and geographical labels of science and technology policy, computes intensity of subjects under different time and geographical conditions, and obtains important subjects and analysis of theme change trend of the intensity of subjects under condition constraints. Experimental results demonstrate that this method can excavate and analyze the subjects form large scale science and technology policies quickly and effectively.
목차
1. Introduction
2. Related Knowledge
2.1 Construction of Subject Library of Science and Technology Policy
2.2 Introduction of LDA Model
3 Subject Discovery of Science and Technology Policies based on LDA Model
3.1 Text Preprocessing
3.2 LDA Subject Modeling
3.3 Subject Intensity Energy
4 Experiments and Analysis
4.1 Experimental Data
4.2 Experimental Steps
4.3 Experimental Data and Analysis
5. Conclusion
References