科技政策语义分析方法研究  

The Research for Semantic Analysis Method of Science and Technology Policy

作　　者：王小玉[1] 董诚[1] 曾文[1] WANG Xiaoyu DONG Cheng ZENG Wen(Institute of Scientific and Technical Information of China, Beijing 100038)

机构地区：[1]中国科学技术信息研究所,北京100038

出　　处：《情报工程》2015年第6期102-108,共7页Technology Intelligence Engineering

基　　金：国家科技支撑计划项目(2015BAH25F00);国家社会科学基金项目(14BTQ038)的支持

摘　　要：本文对科技政策及语义分析方法研究现状的进行了调研,重点对句子相似度匹配算法和段落相似度匹配算法,以及倾向性分析算法等几种语义分析方法进行了对比分析,并总结其各自的适用性和优缺点,为下一步科技政策语义分析模型的构建研究提供研究基础。This paper is based on the semantic status of science and technology policy research and analysis.. It focuses on sentence similarity matching algorithm. Several paragraphs similarity matching algorithms and semantic analysis method tendentious analysis algorithms were compared and summarized their respective applicability, advantages and disadvantages. This paper sets the foundation of the construction for the semantic analysis model of science and technology policy in the future.

关 键 词：科技政策 语义分析方法 相似度计算 倾向性分析 

分 类 号：TP391.12[自动化与计算机技术—计算机应用技术]