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臺東大學綠色科學學刊

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篇名 中文古典詩詞分類器之比較研究
卷期 1:1
並列篇名 A Comparative Study of Automatic Classifiers for Classical Chinese Poems
作者 陳耀宗賴泓錡林育民陳宗暐洪健偉
頁次 125-142
關鍵字 卡方檢定自動化文件分類kNNNaïve BayesianRocchiochi-square testAutomatic Document CategorizationkNNNaïve BayesianRocchio
出刊日期 201105
DOI 10.3966/222369612011050101007

中文摘要

現今常見的中文古典詩詞典藏書籍,大多以作家或年代為區隔來進行編纂;雖然有其意義所在,然而,以詩詞內容來分類應較符合一般人的閱讀習慣。自動化文件分類從很久以前就已有許多專家學者們紛紛提出,並發展出各種方法,但多半以英文的文件集來分類並評估其績效,少有針對中文古典詩詞的研究。本研究將利用自動化文件分類技術來建立一套中文古典詩詞自動分類系統並比較各分類法的績效。

英文摘要

Most compiling books of Chinese classical poems are based on authors or years. However, for reading convenience, readers need a kind of classification based on contents.Automatic classification methods based on contents have been proposed before. Most methods are applied to English documents such as news stories. Fewer studies are done for Chinese classical poems. In this study, we implement an automatic classification system incorporate with several methods and conduct an empirical study to find out which method is more suitable for classified of Chinese classical poems.

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