博碩士論文 104423045 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:5 、訪客IP:3.214.224.224
姓名 曾朝譽(Chao-Yu Tseng)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 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)
相關論文
★ 探討國內田徑競賽資訊系統-以103年全國大專田徑公開賽資訊系統為例★ 生物晶片之基因微陣列影像分析之研究
★ 台灣資訊家電產業IPv6技術地圖與發展策略之研究★ 台灣第三代行動通訊產業IPv6技術地圖與發展策略之研究
★ 影響消費者使用電子書閱讀器採納意願之研究★ 以資訊素養映對數位學習平台功能之研究
★ 台商群聚指標模式與資料分析之研究★ 未來輪輔助軟體發展之需求擷取研究
★ 以工作流程圖展現未來研究方法配適於前瞻研究流程之研究★ 以物件導向塑模未來研究方法配適於前瞻研究之系統架構
★ 應用TRIZ 探討核心因素 建構電子商務新畫布★ 企業策略資訊策略人力資源管理策略對組織績效的影響
★ 採用Color Petri Net方法偵測程式原始碼緩衝區溢位問題★ 簡單且彈性化的軟體代理人通訊協定之探討與實作
★ 利用分析層級程序法探討台灣中草藥製造業之關鍵成功因素★ 利用微陣列資料分析於基因調控網路之建構與預測
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 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。
摘要(英)
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.
關鍵字(中) ★ 文字探勘
★ 論文一致性
★ 論文完整性
★ NGD
★ K-Core
★ ABC分類法
關鍵字(英) ★ text mining
★ consistency
★ completeness
★ NGD
★ K-Core
★ ABC classification
論文目次
摘要 I
ABSTRACT II
目錄 III
圖目錄 V
表目錄 VIII
第一章、 緒論 1
1.1研究背景 1
1.2研究動機 1
1.3研究目的 2
1.4研究架構 3
第二章、 文獻探討 4
2.1文件摘要之背景及定義 4
2.2一致性與完整性 5
2.3語句特徵摘要 6
2.4圖形化摘要 8
2.5 ABC分類法 12
第三章、 研究方法 14
3.1實驗資料 14
3.2文件前處理 15
3.3相似度計算 16
3.4中心性計算 17
3.5重要字詞加權 18
3.6主題字詞篩選 19
3.7一致性分析 19
3.8完整性分析 21
3.9小結 24
第四章、 研究結果 25
4.1重要字詞採用率分析 25
4.2絕對一致性及相對一致性分析 32
4.3一致性分析之結果與分布 36
4.4完整性分析之結果與分布 45
4.5個案討論 51
第五章、 結論 64
5.1研究結論與貢獻 64
5.2研究建議 65
5.3研究限制 65
5.4未來研究 66
參考文獻 67
英文文獻 67
中文文獻 69
附錄一 相對一致性分析表 70
附錄二 實驗資料 82
參考文獻
英文文獻
Abuobieda, A., Salim, N., Albaham, A. T., Osman, A. H. & Kumar, Y. J. (2012, March). Text summarization features selection method using pseudo genetic-based model. In Information Retrieval & Knowledge Management (CAMP), 2012 International Conference on (pp. 193-197). IEEE.
Boehm, B. W. (1984). Verifying and validating software requirements and design specifications. IEEE software, 1(1), 75.
Boudin, F., Huet, S. & Torres-Moreno, J. M. (2011). A graph-based approach to cross-language multi-document summarization. Polibits, (43), 113-118.
Brin, S. & Page, L. (2012). Reprint of: The anatomy of a large-scale hypertextual web search engine. Computer networks, 56(18), 3825-3833.
Burrough-Boenisch, J. (1999). International reading strategies for IMRD articles. Written Communication, 16(3), 296-316.
Chu, C. W., Liang, G. S. & Liao, C. T. (2008). Controlling inventory by combining ABC analysis and fuzzy classification. Computers & Industrial Engineering, 55(4), 841-851.
Cilibrasi, R. L. & Vitanyi, P. M. (2007). The google similarity distance. IEEE Transactions on knowledge and data engineering, 19(3).
Das, D. & Martins, A. F. (2007). A survey on automatic text summarization. Literature Survey for the Language and Statistics II course at CMU, 4, 192-195.
Knobloch, S., Patzig, G., Mende, A. M. & Hastall, M. (2004). Affective news: Effects of discourse structure in narratives on suspense, curiosity, and enjoyment while reading news and novels. Communication Research, 31(3), 259-287.
Kupiec, J., Pedersen, J. & Chen, F. (1995, July). A trainable document summarizer. In Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval (pp. 68-73). ACM.
Lin, C. Y. & Hovy, E. (2003, May). Automatic evaluation of summaries using n-gram co-occurrence statistics. In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1 (pp. 71-78). Association for Computational Linguistics.
Lin, C. Y. (2004, July). Rouge: A package for automatic evaluation of summaries. In Text summarization branches out: Proceedings of the ACL-04 workshop (Vol. 8).
Luhn, H. P. (1958). The automatic creation of literature abstracts. IBM Journal of research and development, 2(2), 159-165.
Mani, I. & Maybury, M. T. (Eds.). (1999). Advances in automatic text summarization (Vol. 293). Cambridge, MA: MIT press.
Mihalcea, R. & Tarau, P. (2005, October). A language independent algorithm for single and multiple document summarization. In Proceedings of IJCNLP (Vol. 5).
Opsahl, T., Agneessens, F. & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social networks, 32(3), 245-251.
Page, L., Brin, S., Motwani, R. & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the web. Stanford InfoLab.
Radev, D. R., Hovy, E. & McKeown, K. (2002). Introduction to the special issue on summarization. Computational linguistics, 28(4), 399-408.
Salton, G., Singhal, A., Mitra, M. & Buckley, C. (1997). Automatic text structuring and summarization. Information Processing & Management, 33(2), 193-207.
Seidman, S. B. (1983). Network structure and minimum degree. Social networks, 5(3), 269-287.
Sollaci, L. B. & Pereira, M. G. (2004). The introduction, methods, results, and discussion (IMRAD) structure: a fifty-year survey. Journal of the medical library association, 92(3), 364.
Suwa, M., Scott, A. C. & Shortliffe, E. H. (1982). An approach to verifying completeness and consistency in a rule-based expert system. Ai Magazine, 3(4), 16.
Swamidass, P. M. (2000). ABC analysis or ABC classification. Encyclopedia of production and manufacturing management, 1, 2.
Yeh, J. Y., Ke, H. R., Yang, W. P. & Meng, I. H. (2005). Text summarization using a trainable summarizer and latent semantic analysis. Information processing & management, 41(1), 75-95.
Zowghi, D. & Gervasi, V. (2002, September). The Three Cs of requirements: consistency, completeness, and correctness. In International Workshop on Requirements Engineering: Foundations for Software Quality, Essen, Germany: Essener Informatik Beitiage (pp. 155-164).
Zowghi, D. & Gervasi, V. (2003). On the interplay between consistency, completeness, and correctness in requirements evolution. Information and Software technology, 45(14), 993-1009.
中文文獻
葉鎮源、柯皓仁、楊維邦(民90)。文件自動化摘要方法之研究及其在中文文件的應用 (博士論文)。
薛義誠(民97)。策略規劃與管理。臺北市:雙葉書廊有限公司。
指導教授 薛義誠 審核日期 2017-7-31
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明