Research On Academic Misconduct Governance Based On Text Mining

Since the reform and development,with the rapid development of our country,scientific research above China is also made great achievements.In 2015,professor Tu won the Nobel Prize in medicine.However,with the academic development,academic misconduct is also becoming more and more rampant,from the early "Core of machine event" to last year's China more than 100 papers were withdrawn,and Fang academic blog,web site disclosure.All clear that the phenomenon of academic misconduct has gradually entered the public view.Academic misconduct is a bad scientific research academic misconduct,not only undermine the academic atmosphere,more harm to society,the state,therefore,academic misconduct is an urgent problem to be solved.In response to the spread of this phenomenon,the Ministry of Education,Ministry of Science and Technology and the National Natural Science Foundation of the academic and scientific research activities are regulated,the academic misconduct has played a certain role in curbing.However,with the constant occurrence of academic misconduct in recent years,the disclosure of how to better manage academic misconduct has become a top priority.Based on the previous studies on academic misconduct,this paper finds that the current research on academic misconduct generally defines the academic misconduct and the causes of academic misconduct and gives some suggestions on governance.Of the study.This paper puts forward three new ideas on the research of academic misconduct.First,the academic misconduct governance is divided into the governance side and the governed side,and the author carries out the research on the academic misconduct.The game between the two sides in order to study the governance side and the governance of the existence of what kind of link between the two sides and made a hybrid strategy Nash equilibrium between the solution to better study of academic misconduct between the governance side and the governance side And then open a path for later research.Then,the author collects a large number of cases of academic misconduct creatively,and analyzes the case text by reptile and text mining in order to discover the academic misconduct of these cases.Finally,ROSTCM is used to analyze and analyze the literature of academic misconducts,and to display the label cloud and social network as well as the semantic analysis to study the regulation and punishment of academic misconduct.Methods and so on,and learn from the academic misconduct abroad,the effective experience of governance of China's academic misconduct proposed by the recommendations.