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| Title: | 應用資訊擷取技術於企業評價財務項資料之取得
An Application of Information Extraction in Collecting Financial Data for Business Valuation |
| Authors: | 賴哲霆
Lai,Jhe-Ting |
| Contributors: | 林我聰
諶家蘭
Lin, Woo-Tsong
Seng, Jia-Lang
賴哲霆
Lai,Jhe-Ting |
| Keywords: | 資訊擷取
企業評價
財務項資料
Information Extraction
Business Valuation
Financial Data |
| Date: | 2006 |
| Issue Date: | 2009-09-14 09:14:11 (UTC+8) |
| Abstract: | 由於近幾年來網際網路電子資源的數量大量成長下，搜尋引擎技術的誕生為使用者帶來檢索資料文件上極高的便利與效率。但網路資源和使用者大量成長下，現有的關鍵字檢索技術已無法滿足使用者需求。然而「資訊擷取」就是將從檢索文件中擷取重要特定訊息或產生資訊間特定關係的一種技術。其不僅從文件中能過濾不必要的資訊，而且產生有興趣或特定的重要訊息和摘要。
企業評價即為一套收集、分析與應用財務或非財務資訊來評價企業的價值，其評估的結果可做為企業決策和無形資產買賣訂價之依據。目前在國內企業的財務報表、財務附註和財經新聞內容皆有與企業評價所需重要訊息和資料，並以網頁和PDF格式呈現。因此，本研究將對國內企業財務報表、財務附註和財經新聞為資料來源，以企業評價概念基礎下建立中文財務項資料的資訊擷取系統。從這些不同的異質資料來源中，擷取正確的財務項資料與其所對應之企業評價模型，以達成自動擷取企業評價資料。使用者能在最短的時間內取得相關有效評價資訊和學習評價模型，使資訊處理品質能夠提昇正確性和效率性。
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 demands due to a large number of network resources and users on the Internet. Information extraction (IE) is an improvement method which extracts the important specific event or produces specific relations among information from documents. IE 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, analyzing, 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 Chinese 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 our 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 information processing quality. |
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| Description: | 碩士
國立政治大學
資訊管理研究所
94356025
95 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0094356025 |
| Data Type: | thesis |
| Appears in Collections: | [資訊管理學系] 學位論文
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