Earticle

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

Abstract
 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

키워드

저자

• Jianmin Wang [ School of Information Science and Technology, Shijiazhuang Tiedao University, China ]
• Shaobo Li [ School of Information Science and Technology, Shijiazhuang Tiedao University, China ]
• Tongrang Fan [ School of Information Science and Technology, Shijiazhuang Tiedao University, China ]
• Hui Wang [ School of Information Science and Technology, Shijiazhuang Tiedao University, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605