Construction of deep resolution and retrieval platform for large scale scientific and technical literature

In the three aspects of information retrieval, scientific paper evaluation, revealing the knowledge structure evolution, citation analysis plays a vital role. With the appearance of full-text literature repositories, Citation analysis entered the 4 Era-full-text citation analysis age. However There is no Chinese full-text literature database. Secondly, in the two key points of citation content analysis, the citation topic analysis and the citation sentiment analysis are still lack of effective methods especially for Chinese literature. These have greatly restricted the research and application of full text citation analysis in Chinese Literature. In this project, our basic idea is: Through the study of establish a set of effective research for Chinese large-scale literature citation content analysis two key research points and efficient method for the analysis Chinese full citation analysis based on data, to enhance the effectiveness of citation analysis in our country in the field of science and technology. The main research topics include: (1) Studying the methods of real-time construction of standardized Data Set for citation content analysis based on spark. (2) A scientific and technical literature retrieval platform based on Citation content is proposed. In order to improve the research efficiency of science and technology in China and to improve the accuracy of sci-tech literature searching, the full text citation analysis is promoted.