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題名 應用文字探勘與XBRL技術於企業策略分析決策支援系統之研究
作者 連子杰
Lien,Tzu-Chieh
貢獻者 周濟群
連子杰
Lien,Tzu-Chieh
關鍵詞 決策支援系統
文字探勘
可延伸企業報導語言
企業策略
Decision support system
Text mining
XBRL
Business strategy
日期 2006
上傳時間 11-Sep-2009 17:26:13 (UTC+8)
摘要 投資人在投資決策之過程中,所分析之資料可分為財務性與非財務性資訊兩大類,然而受限於傳統財務資料格式之不一致,可能需花費額外之財力與物力來處理,甚至浪費精力於資料的重新輸入。另一方面,非財務資訊在投資決策過程中日益重要,但其龐大的資訊揭露量卻往往徒增投資人閱讀與搜尋上之不便,甚至降低了可閱讀性。
     有鑑於上述兩大投資分析不便之處,本研究運用文字探勘(Text mining)技術,嘗試處理股東會年報中與企業策略相關之非財務性資訊,以協助閱讀者有效率地分析、整理這些半結構化,甚至是非結構化文字資訊。另一方面,本研究利用可延伸企業報導語言(eXtensible Business Reporting Language, XBRL)不受軟體平台限制,可於網路上自由下載流通等特性,作為財務資訊之資料來源,同時建立一種新的分析模式,透過連結機制之設計以連接非財務性與財務性資訊,並運用ROMC系統分析法與雛型系統設計法完成本企業策略分析決策支援系統,希冀能協助投資人能於短時間內瞭解並印證標的公司之產業發展與競爭策略,提升決策品質。
There are two main data types in investment decision process: financial and non-financial. Because the inconsistent of data type in traditional financial data, investors may have more additional costs to solve this problem. In addition, non-financial data become more and more important in investment decision process, but huge amount of non-financial disclosure may reduce the readability and increase the difficulty of searching.
      To solve the above problems, we try to use text mining technology to handle the semi-structured or unstructured non-financial data related to business strategies in the annual reports of public companies effectively and efficiently. In addition, we use XBRL (eXtensible Business Reporting Language) to be our financial data resources because of its interoperability and re-usability. We also develop a new analytic method to link financial and non-financial data together. Finally, we use two system methodologies: R.O.M.C. and prototyping to design and build our business strategy analysis decision support system in order to help investors understand and prove strategies in companies, and improve the decision quality which they make.
參考文獻 王志彥,2002,網際網路企業評價決策支援系統-現金流量折現法與實質選擇權之應用,國立台灣科技大學資訊管理系未出版碩士論文。
林東清,2002,資訊管理-E化企業的核心競爭能力,台北:智勝文化事業有限公司。
吳啟銘,2001,企業評價個案實證分析,台北:智勝文化事業有限公司。
周國華、郭譽申,2006,XBRL應用軟體介紹,會計研究月刊,第244期(3月):53-57。
周濟群,2001,會計報告電子化傳遞的利器—XBRL,會計研究月刊,第187期(6月):36-43。
_____ ,2006,XBRL-國際發展現況與國內展望分析,會計研究月刊,第244期(3月):38-53。
周濟群等人,2006,企業財務資訊透明化與企業風險管理-E化整合性基礎架構期末成果報告,行政院國家科學委員會。
梁定澎,2002,決策支援系統,台北:智勝文化事業有限公司
財團法人資誠教育基金會,2001,企業價值報告趨勢預測,陳依蘋、柯淑貞譯,台北:財團法人資誠教育基金會。
蔡明宏,2005,發展認知萃取模型以建立本體化的概念架構,中原大學資訊管理學系未出版碩士論文。
諶家蘭,2006,淺介資料探勘與XBRL,會計研究月刊,第245期(4月):56-63。
盧永峰,2003,網頁文件分類與過濾方法之研究,國立臺灣海洋大學電機工程學系未出版碩士論文。
賴慧娟,2002,企業評價決策支援系統-經濟附加價值與自由現金流量之應用,靜宜大學會計學系未出版碩士論文。
劉群,2002,漢語詞法分析和句法分析技術綜述,第一屆學生計算語言學研討會專題講座,北京大學計算語言學研究所。
Gorry, G. A., and M. S. Scott Morton. 1971. A framework for management information systems. Sloan Management Review 13(1): 30-57
Holsapple, C. W., and A. B. Whinston. 1996. Decision support system: A knowledge-based approach. Minneapolis/St. Paul: West Publishing Company.
Keen, P. G. W. 1980. Adaptive decision for DSS, Database 12(2): 15-25.
____________, and M. S. Scott Morton, M. 1978. Decision support system: An organizational perspective, Reading, MA.
Kaplan. R. S., and D. P. Norton. 1996. The balanced scorecard: Translating strategy into action. Boston, Massachusetts : Harvard Busuness School Press.
Mitchell T. M. 1997. Machine Learning, New York: McGraw-Hill.
Noy, N. F., and D. L. McGuinness. 2001. Ontology development: A guide to creating your first ontology, Stanford Knowledge System Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880.
Robert, E. 1991. Entrepreneurs in high technology: Lesson form MIT and beyond, Oxford University Press, New York.
Salton G., and M. J. McGill 1983. Introduction to modern information retrieval. New York: McGraw-Hill.
________, and B. Christopher. Term weighting approaches in automatic text retrieval. Information Processing & Management 24(5): 513-523.
Scott Morton 1971. Management decision system: Computer based support for decision making, Division of Research, Harvard University
Simon, H. A. 1977. The new science of management decision. Rev. ed. Englewood Cliffs, NJ: Prentice Hall.
Sprague, R. H. Jr., and E. D. Carlson 1982. Building effective decision support system, New Jersey: Prentice-Hall.
Sparke, J. K. 1972. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation 28(January): 11-21.
Sullivan, D. 2001. Document Warehousing and Text Mining: Techniques for Improving Business Opreations, Marketing and Sales. New York :John Wiley & Son, Inc.
Turban, E., and J. E. Aronson. 2001. Decision support systems and intelligent systems, New Jersey: Prentice-Hall, Inc.
Working Party of the AAA Infirmation System and Artificial Intelligence /Emerging Technologies Section. Financial reporting in XBRL on the SEC`s EDGAR system: A critique and evaluation, Journal of Information Systems 19(2): 191-210.
中研院中文斷詞系統:http://ckipsvr.iis.sinica.edu.tw/
XBRL International:http://www.xbrl.org
描述 碩士
國立政治大學
會計研究所
94353014
95
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0094353014
資料類型 thesis
dc.contributor.advisor 周濟群zh_TW
dc.contributor.author (Authors) 連子杰zh_TW
dc.contributor.author (Authors) Lien,Tzu-Chiehen_US
dc.creator (作者) 連子杰zh_TW
dc.creator (作者) Lien,Tzu-Chiehen_US
dc.date (日期) 2006en_US
dc.date.accessioned 11-Sep-2009 17:26:13 (UTC+8)-
dc.date.available 11-Sep-2009 17:26:13 (UTC+8)-
dc.date.issued (上傳時間) 11-Sep-2009 17:26:13 (UTC+8)-
dc.identifier (Other Identifiers) G0094353014en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/30197-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 會計研究所zh_TW
dc.description (描述) 94353014zh_TW
dc.description (描述) 95zh_TW
dc.description.abstract (摘要) 投資人在投資決策之過程中,所分析之資料可分為財務性與非財務性資訊兩大類,然而受限於傳統財務資料格式之不一致,可能需花費額外之財力與物力來處理,甚至浪費精力於資料的重新輸入。另一方面,非財務資訊在投資決策過程中日益重要,但其龐大的資訊揭露量卻往往徒增投資人閱讀與搜尋上之不便,甚至降低了可閱讀性。
     有鑑於上述兩大投資分析不便之處,本研究運用文字探勘(Text mining)技術,嘗試處理股東會年報中與企業策略相關之非財務性資訊,以協助閱讀者有效率地分析、整理這些半結構化,甚至是非結構化文字資訊。另一方面,本研究利用可延伸企業報導語言(eXtensible Business Reporting Language, XBRL)不受軟體平台限制,可於網路上自由下載流通等特性,作為財務資訊之資料來源,同時建立一種新的分析模式,透過連結機制之設計以連接非財務性與財務性資訊,並運用ROMC系統分析法與雛型系統設計法完成本企業策略分析決策支援系統,希冀能協助投資人能於短時間內瞭解並印證標的公司之產業發展與競爭策略,提升決策品質。
zh_TW
dc.description.abstract (摘要) There are two main data types in investment decision process: financial and non-financial. Because the inconsistent of data type in traditional financial data, investors may have more additional costs to solve this problem. In addition, non-financial data become more and more important in investment decision process, but huge amount of non-financial disclosure may reduce the readability and increase the difficulty of searching.
      To solve the above problems, we try to use text mining technology to handle the semi-structured or unstructured non-financial data related to business strategies in the annual reports of public companies effectively and efficiently. In addition, we use XBRL (eXtensible Business Reporting Language) to be our financial data resources because of its interoperability and re-usability. We also develop a new analytic method to link financial and non-financial data together. Finally, we use two system methodologies: R.O.M.C. and prototyping to design and build our business strategy analysis decision support system in order to help investors understand and prove strategies in companies, and improve the decision quality which they make.
en_US
dc.description.tableofcontents 第一章 緒論 1
     第一節 研究背景與動機 1
     第二節 研究目的 3
     第三節 研究流程 4
     第二章 文獻探討 5
     第一節 決策支援系統 5
     第二節 可延伸企業報導語言 10
     第三節 文字探勘 14
     第三章 研究設計 20
     第一節 觀念性架構 20
     第二節 研究方法 22
     第三節 資料範圍 25
     第四章 研究成果 27
     第一節 企業年報非結構化文字資訊分類瀏覽器 27
     第二節 XBRL財務報表分類標準與案例文件 38
     第三節 連結機制 45
     第四節 情境模擬 48
     第五節 系統開發環境與工具 52
     第五章 結論與建議 53
     第一節 研究結論與建議 53
     第二節 研究限制 54
     參考文獻 56
     附錄一 臺灣50指數成份股與權重值一覽表 59
     附錄二 財務性輔助資訊內容表-相關會計科目 60
     附錄三 財務性輔助資訊內容表-財務比率 61
     附錄四 財務性輔助資訊內容表-重要會計政策 62
     
     
     圖目錄
     圖1-1 研究流程圖 4
     圖2-1 DSS架構圖(一) 6
     圖2-2 DSS架構圖(二) 7
     圖2-3 DSS新整合性架構圖 9
     圖2-4 XBRL技術架構圖 11
     圖2-5 向量空間模型 18
     圖3-1 本研究系統架構圖 21
     圖4-1 概念階層形成流程圖 28
     圖4-2 文字探勘流程圖 33
     圖4-3 特徵詞向量空間 33
     圖4-4 特徵詞向量 35
     圖4-5 相似度計算 35
     圖4-6 年報內文自動分類運作流程圖 36
     圖4-7 XBRL規格書2.1版Schema文件架構圖 39
     圖4-8 特徵詞詞庫建置流程圖 46
     圖4-9 連結機制流程圖 48
     圖4-10 系統畫面(一)-進入畫面 49
     圖4-11 系統畫面(二)-原始年報內文瀏覽 50
     圖4-12 系統畫面(三)-年報內文分類閱讀 51
     圖4-13 系統畫面(四)-與財務性資訊之連結 52
     
     
     表目錄
     表2-1 XBRL連結庫文件一覽表 12
     表2-2 中文斷詞系統之簡化詞類標記表 16
     表2-3 相似度計算公式表 19
     表3-1 企業策略分析主要活動與DSS功能需求對照表 23
     表3-2 年報內文自動分類訓練與測試資料表 25
     表3-3 XBRL案例文件內容一覽表 26
     表4-1 年報章節內容與分類階層對映表 32
     表4-2 特徵詞詞庫內容一覽表 47
     表5-1 半自動對映與全自動對映正確率一覽表 55
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0094353014en_US
dc.subject (關鍵詞) 決策支援系統zh_TW
dc.subject (關鍵詞) 文字探勘zh_TW
dc.subject (關鍵詞) 可延伸企業報導語言zh_TW
dc.subject (關鍵詞) 企業策略zh_TW
dc.subject (關鍵詞) Decision support systemen_US
dc.subject (關鍵詞) Text miningen_US
dc.subject (關鍵詞) XBRLen_US
dc.subject (關鍵詞) Business strategyen_US
dc.title (題名) 應用文字探勘與XBRL技術於企業策略分析決策支援系統之研究zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 王志彥,2002,網際網路企業評價決策支援系統-現金流量折現法與實質選擇權之應用,國立台灣科技大學資訊管理系未出版碩士論文。zh_TW
dc.relation.reference (參考文獻) 林東清,2002,資訊管理-E化企業的核心競爭能力,台北:智勝文化事業有限公司。zh_TW
dc.relation.reference (參考文獻) 吳啟銘,2001,企業評價個案實證分析,台北:智勝文化事業有限公司。zh_TW
dc.relation.reference (參考文獻) 周國華、郭譽申,2006,XBRL應用軟體介紹,會計研究月刊,第244期(3月):53-57。zh_TW
dc.relation.reference (參考文獻) 周濟群,2001,會計報告電子化傳遞的利器—XBRL,會計研究月刊,第187期(6月):36-43。zh_TW
dc.relation.reference (參考文獻) _____ ,2006,XBRL-國際發展現況與國內展望分析,會計研究月刊,第244期(3月):38-53。zh_TW
dc.relation.reference (參考文獻) 周濟群等人,2006,企業財務資訊透明化與企業風險管理-E化整合性基礎架構期末成果報告,行政院國家科學委員會。zh_TW
dc.relation.reference (參考文獻) 梁定澎,2002,決策支援系統,台北:智勝文化事業有限公司zh_TW
dc.relation.reference (參考文獻) 財團法人資誠教育基金會,2001,企業價值報告趨勢預測,陳依蘋、柯淑貞譯,台北:財團法人資誠教育基金會。zh_TW
dc.relation.reference (參考文獻) 蔡明宏,2005,發展認知萃取模型以建立本體化的概念架構,中原大學資訊管理學系未出版碩士論文。zh_TW
dc.relation.reference (參考文獻) 諶家蘭,2006,淺介資料探勘與XBRL,會計研究月刊,第245期(4月):56-63。zh_TW
dc.relation.reference (參考文獻) 盧永峰,2003,網頁文件分類與過濾方法之研究,國立臺灣海洋大學電機工程學系未出版碩士論文。zh_TW
dc.relation.reference (參考文獻) 賴慧娟,2002,企業評價決策支援系統-經濟附加價值與自由現金流量之應用,靜宜大學會計學系未出版碩士論文。zh_TW
dc.relation.reference (參考文獻) 劉群,2002,漢語詞法分析和句法分析技術綜述,第一屆學生計算語言學研討會專題講座,北京大學計算語言學研究所。zh_TW
dc.relation.reference (參考文獻) Gorry, G. A., and M. S. Scott Morton. 1971. A framework for management information systems. Sloan Management Review 13(1): 30-57zh_TW
dc.relation.reference (參考文獻) Holsapple, C. W., and A. B. Whinston. 1996. Decision support system: A knowledge-based approach. Minneapolis/St. Paul: West Publishing Company.zh_TW
dc.relation.reference (參考文獻) Keen, P. G. W. 1980. Adaptive decision for DSS, Database 12(2): 15-25.zh_TW
dc.relation.reference (參考文獻) ____________, and M. S. Scott Morton, M. 1978. Decision support system: An organizational perspective, Reading, MA.zh_TW
dc.relation.reference (參考文獻) Kaplan. R. S., and D. P. Norton. 1996. The balanced scorecard: Translating strategy into action. Boston, Massachusetts : Harvard Busuness School Press.zh_TW
dc.relation.reference (參考文獻) Mitchell T. M. 1997. Machine Learning, New York: McGraw-Hill.zh_TW
dc.relation.reference (參考文獻) Noy, N. F., and D. L. McGuinness. 2001. Ontology development: A guide to creating your first ontology, Stanford Knowledge System Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880.zh_TW
dc.relation.reference (參考文獻) Robert, E. 1991. Entrepreneurs in high technology: Lesson form MIT and beyond, Oxford University Press, New York.zh_TW
dc.relation.reference (參考文獻) Salton G., and M. J. McGill 1983. Introduction to modern information retrieval. New York: McGraw-Hill.zh_TW
dc.relation.reference (參考文獻) ________, and B. Christopher. Term weighting approaches in automatic text retrieval. Information Processing & Management 24(5): 513-523.zh_TW
dc.relation.reference (參考文獻) Scott Morton 1971. Management decision system: Computer based support for decision making, Division of Research, Harvard Universityzh_TW
dc.relation.reference (參考文獻) Simon, H. A. 1977. The new science of management decision. Rev. ed. Englewood Cliffs, NJ: Prentice Hall.zh_TW
dc.relation.reference (參考文獻) Sprague, R. H. Jr., and E. D. Carlson 1982. Building effective decision support system, New Jersey: Prentice-Hall.zh_TW
dc.relation.reference (參考文獻) Sparke, J. K. 1972. A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation 28(January): 11-21.zh_TW
dc.relation.reference (參考文獻) Sullivan, D. 2001. Document Warehousing and Text Mining: Techniques for Improving Business Opreations, Marketing and Sales. New York :John Wiley & Son, Inc.zh_TW
dc.relation.reference (參考文獻) Turban, E., and J. E. Aronson. 2001. Decision support systems and intelligent systems, New Jersey: Prentice-Hall, Inc.zh_TW
dc.relation.reference (參考文獻) Working Party of the AAA Infirmation System and Artificial Intelligence /Emerging Technologies Section. Financial reporting in XBRL on the SEC`s EDGAR system: A critique and evaluation, Journal of Information Systems 19(2): 191-210.zh_TW
dc.relation.reference (參考文獻) 中研院中文斷詞系統:http://ckipsvr.iis.sinica.edu.tw/zh_TW
dc.relation.reference (參考文獻) XBRL International:http://www.xbrl.orgzh_TW