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基于語義單元表示樹剪枝的關鍵字過濾方法

Key word filter method based on pruning on the tree representations of semantic elements

  • 摘要: 傳統的關鍵字過濾技術滿足了人們一定的需要,但是其靈活性差,效果有限,難以識別和過濾變形過的關鍵字.本文將語義單元應用在網絡監測中,提出了一種新的關鍵字過濾方法.這種方法可以有效地識別和過濾網絡中經過變形的關鍵字,其時間復雜度為O(L)而非O(LN),其中L是文本的長度,N是關鍵字集的規模,即無論關鍵字集有多么大的規模,算法消耗的時間是固定不變的,這對網絡監測和信息過濾有著較強的實用性.

     

    Abstract: Traditional key word filtering technology meets people's common need, but the flexibility and effect is too limited to recognize or filter the transformed key words. Semantic elements were applied to net monitor and a new key word filter method was proposed. This method could recognize and filter the transformed key words effectively. The filter time was O(L) rather than general O(LN), where L was the length of text and N was the size of Keyword-base. It means this algorithm costs constant time even if N is hundreds of thousands or millions. It is very practical in net monitor and information filter.

     

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