Analysis of Scientific and Technical Literature in the Big Data
Compared with the others data,scientific and technical literature is multi-source and multiple types.Its content is more emphasis on technical and correlation.In order to analyze and evaluate it,the paper got the value of correlation based on VSM.And it introduced the value of correlation into evaluation indexes of scientific and technical papers and patents in China.Experimental results showed that the method was reasonable and it could improve the traditional evaluation method of scientific and technical literature.The work in this paper will provide a good foundation for the future research.
analysis scientific and technical literature big data
Wen Zeng Hui Li Na Qi
Institute of Scientific and Technical Information of China Beijing Institute of Science and Technology Information
国际会议
深圳
英文
179-181
2018-01-21（万方平台首次上网日期，不代表论文的发表时间）