English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109951/140892 (78%)
Visitors : 46197733      Online Users : 590
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version
    政大機構典藏 > 商學院 > 會計學系 > 期刊論文 >  Item 140.119/61589


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61589


    Title: An Intelligent information segmentation approach to extract financial data for business valuation
    Authors: 諶家蘭
    Seng, Jia-Lang;Lai, J.T.
    Contributors: 會計系
    Keywords: Intelligent information extraction;Information retrieval;Word segmentation;Knowledge base;Text processing;Natural language processing;Business valuation;Financial data;Non-financial data
    Date: 2010.09
    Issue Date: 2013-11-11 17:04:18 (UTC+8)
    Abstract: Due to an increase in the wealth of electronic resources on the Internet in the past several years, the birth of the search engine has brought the utmost convenience and efficiency for users. However, searching for data by keyword retrieval techniques in information retrieval is not contented with some users’ specific needs due to a large number of network resources and users on the Internet. Information extraction is an improvement method which extracts the important specific event or produces specific relations among information from documents. Information extraction can not only filter unnecessary information in any documents but also produce specific important messages and summaries that users are interested in. Business valuation is collecting, analysis, and applying to financial or non-financial integral information to appraise the business value. The evaluated results are used in the commerce pricing for the business decision and intangible assets. There are specific information and events about business valuation stored in the Intelligent financial statements, notes to financial statements, and financial news of Taiwan’s companies at present and data is presented by the HTML and PDF files. Hence, we developed an information extraction system of Chinese financial data for business valuation from the domestic business financial statements, notes to financial statements, and financial news as the data sources. We extracted the correct financial data and their corresponding Business Valuation Model to achieve an automatic extraction in the financial data from these different heterogeneous data sources. Users can collect the relevant valid valuation information and learn valuation models concepts within a very short time to improve accuracy and efficiency in text processing quality.
    Relation: Expert Systems with Applications, 37(9) ,6515-6530
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/j.eswa.2010.02.134
    DOI: 10.1016/j.eswa.2010.02.134
    Appears in Collections:[會計學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    65156530.pdf1383KbAdobe PDF21131View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback