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頁籤選單縮合
題 名 | An Assessment of Character-based Chinese News Filtering Using Latent Semantic Indexing |
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作 者 | Wu,Shih-hung; Yang,Pey-ching; Soo,Von-wun; | 書刊名 | International Journal of Computational Linguistics & Chinese Language Processing |
卷 期 | 3:2 1998.08[民87.08] |
頁 次 | 頁61-78 |
分類號 | 028.7 |
關鍵詞 | 中文資訊檢索; 中文資訊過濾; Chinese news filtering; Latent semantic indexing; SVD; Singular-value decomposition; LSI; Chinese information filtering; |
語 文 | 英文(English) |
英文摘要 | We assess the Latent Semantic Indexing(LSI) approach to Chinese information filtering. In particular, the approach is for Chinese news filtering agents that use a character-based and hierarchical filtering scheme. The traditional vector space model is employed as an information filtering model, and each document is converted into a vector of weights of terms. Instead of using words as terms in the IR nomination tradition, terms refer to Chinese characters. LSI captures the semantic relationship between documents and Chinese characters. We use the Sin-gular-value Decomposition (SVD) technique to compress the term space into a lower dimension which achieves latent association between documents and terms. The results of experiments show that the recall and precision rates of Chinese news filtering using the character-based approach incorporating the LSI technique are satisfactory. |
本系統中英文摘要資訊取自各篇刊載內容。