運用文字探勘評估碩士論文之一致性與完整性;Using Text Mining to Evaluate the Consistency and Completeness of Master’s Thesis

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Title:	運用文字探勘評估碩士論文之一致性與完整性;Using Text Mining to Evaluate the Consistency and Completeness of Master’s Thesis
Authors:	曾朝譽;Tseng, Chao-Yu
Contributors:	資訊管理學系
Keywords:	文字探勘;論文一致性;論文完整性;NGD;K-Core;ABC分類法;text mining;consistency;completeness;NGD;K-Core;ABC classification
Date:	2017-07-31
Issue Date:	2017-10-27 14:40:18 (UTC+8)
Publisher:	國立中央大學
Abstract:	一篇好的論文摘要能幫助讀者快速瞭解論文之內容，其中之內容尤以目的及結論為甚，因此本研究將採用近五年來國立中央大學資訊管理學系之碩士論文為實驗資料，目的為探討碩士論文中，摘要、目的及結論兩兩章節間之一致性，並利用目的與結論檢驗論文之完整性，藉此評估碩士論文之一致性及完整性。本研究視字詞為節點，利用相似度計算與中心性計算建立每篇論文之圖形結構，之後運用ABC分類法挑出各篇論文之主題字詞，以評估章節間的一致性及完整性。於「摘要章節與目的章節、摘要章節與結論章節及目的章節與結論章節之一致性分析」方面，發現結合NGD相似度計算、K-Core中心性演算法及ABC分類法為較佳之方法。於「目的章節與結論章節之完整性分析」方面，使用Degree、Strength、K-Core或PageRank等四種中心性演算法所計算出之結果皆無明顯差異。於「各年間之論文一致性與完整性」方面，發現2013年及2015年之論文較佳，2012年之論文較差，而2014年及2016年之論文則較為一般。於「影響論文一致性與完整性之因素」方面，若能精準地撰寫標題內容且各章節之內容有撰寫確實，但又不至於太過多，即會有較好的一致性與完整性。 ;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.
Appears in Collections:	[Graduate Institute of Information Management] Electronic Thesis & Dissertation

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