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題名 | 分類不一致之自動偵測:以農資中心資料為例=Automatic Inconsistency Detection for the ASIC Categorization Collection |
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作者 | 曾元顯; 王峻禧; | 書刊名 | 圖書館學與資訊科學 |
卷期 | 33:2 2007.10[民96.10] |
頁次 | 頁19-32 |
分類號 | 023.3 |
關鍵詞 | 文件分類; 一致性; 主題分析; 分類錯誤更正; 知識盤點; Document categorization; Consistency; Subject analysis; Inconsistency correction; Knowledge audit; |
語文 | 中文(Chinese) |
英文摘要 | Text categorization is a process of assigning labels to documents according to the contents or topics of the documents. Traditionally text categorization is carried out by human experts. However, due to factors such as blurred category boundaries, background bias, and personal judgment, label inconsistency is often found in human classified collections, thus reducing their values in various applications. This article described an automatic process to detect such inconsistency based on the Agricultural Science Information Center (ASIC ) collection. In the article, important examples and results are presented. Potential benefits and applications are discussed. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。