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A good abstract in thesis can help readers quickly understand the main idea of thesis, which is consist of purpose and conclusion. Therefore, this study will use the master′s thesis of the Department of Information Management of National Central University in the past five years as the experimental data. In order to evaluate the writing quality of the master′s thesis, the consistency between the chapters of abstract and purpose, the chapters of abstract and conclusion and the chapters of purpose and conclusion are discussed and the completeness between the chapters of purpose and conclusion are also discussed.
In this study, each word is used as a vertex, and the graphic structure of each paper is established by combing the similarity measurement and centrality measurement. In order to evaluate the consistency and the completeness of the chapters, the ABC classification method is used to find the thematic words in each thesis.
Regarding the consistency between the chapters of abstract and purpose, the chapters between abstract and conclusion and the chapters between purpose and conclusion, it is found that the combination of NGD similarity, K-Core centrality and ABC classification is a better method. As to the completeness of the chapters between purpose and conclusion, there were no significant difference between Degree, Strength, K-Core and PageRank centrality. Concerning the consistency and the completeness of the thesis in each year, it is found that the thesis in 2013 and 2015 were much better, the thesis in 2012 were worse and the thesis in 2014 and 2016 were common. Regard to the influence on the factors of the consistency and the completeness of the thesis, it is found that the content of title should be written accurately and the content of each chapter should be written precisely. | en_US |