Economic Research Reflects The Development Of Chinese Economy

One of the important aspects of academic research is literature learning.As an important carrier of academic literature,academic journals actively changed the mode of academic exchange in the era of big data and established the official website of academic journals.On the one hand,the establishment of the official websites of academic journals systematizes the scattered literature resources in the form of Web texts,which improves the comprehensive utilization value of the literature;on the other hand,the establishment of the website shortens the publication period of academic literature.The rapid increase in the number of academic literature publications and the expansive growth of knowledge and information have undoubtedly challenged scholars to quickly and accurately obtain useful knowledge.The timely rise of text mining technology has made scholars from all walks of life see the possibility of fully discovering the potential knowledge of academic literature.However,Web mining technology is still in the development stage,and it is still impossible to comprehensively and systematically refine the literature information.At present,the factors that hinder the deep mining and accurate use of textual information in academic literature are as follows:the topic generation model of the document has the topic threshold setting and theme drift;Meanwhile,traditional text clustering algorithms depend too much on the initial value and tend to get local optimum when processing data.The predecessors'analysis of the core authors of academic journals is mostly carried out from the number of author's articles,and there are few studies on the cooperative groups formed during the development process and the cooperative relationship between groups.In response to these problems,based on previous studies,this paper focuses on how to find themes from the massive text and conduct evolution analysis,and proposes an LDA-AP topic evolution model to solve the problem of threshold setting and theme drift in the single subject evolution analysis method.In addition,this paper analyzes the core author group from the perspective of the number of author's posts and the author's influence in the cooperative network,avoiding the defect of the core author group only based on the number of posts.Through the author-keyword coupling analysis and social network analysis,the main research areas of the core author group members and the potential cooperation relationship of their affiliates are determined.As the core journal of economics,Economic Research always reflects the latest research trends in China's economic field and guides the development of academic research in the economic field.Apply different text mining methods,focus on the statistical analysis of the Economic Research literature,and obtains comprehensible and usable knowledge from the "massive" data.It is of great significance to analyze the changes of knowledge structure and the contribution of scientific research output in the field of economic research,research institutions and journals of economic research in China.Therefore,this article takes Economic Research as an example,taking the Web text data obtained from the official website of Economic Research as a research sample,starting from the two perspectives of descriptive analysis and model analysis,text mining of Economic Research,reviewing the research process of economic issues explores the core groups in the field of economics research.The main research contents and research results of this paper are summarized as follows:First of all,this paper summarizes some of the characteristics of the papers published in Economic Research in different historical periods by obtaining the high-frequency words and keywords.Namely:the research focus of 1992-1996 is the reform cry,the journal discusses economic theory and market mechanism more;the research focus of 1997-2001 is the reform of state-owned enterprises and economic research;the focus of 2002-2006 is economic growth and financial market;during the period of 2007-2011,the taxation and banking system became the focus of scholars;during 2012-2016,real estate prices,credit,and innovation drive were the hot topics of scholars;during the period of 2017-2018,scholars focus on the issue of entrepreneurship and employment,and also paid more attention to ECO development.Secondly,this paper constructs the AP-LDA theme evolution model,and conducts the theme evolution analysis of the papers published in various stages of Economic Research,The Economic Research papers are roughly divided into six areas:"economic growth and development" field,"revenue distribution and income gap" field,"three rural issues" field,"capital market" field,the "industry structure and industrial policy analysis" and the "public foundation and institutional economics" field.Finally,this paper measures the core author group and core publishing organization that Economic Research has in the past 10 years.From the author's number of papers published and the author's influence in the cooperation network,there are 40 core authors,of which Gong Liu tang,Shi Jin chuan,Yan Chengliang,Liu Xihui,Zhang.Ping and Yuan Fuhua as the core group authors have strong academic research ability,have published a large number of paper sand a wide range of research fields.And found that the Chinese Academy of Social Sciences,colleges and universities and university research centers are the main source of the"economic research" manuscript.In summary,this paper designs a text mining algorithm suitable for academic journals based on the semantic features and text structure of academic journals,and integrates and validates the algorithm with Economic Research as the research object.It has been verified that the text mining algorithm proposed in this paper is practical and scientific.