网页挖掘中的一个主要问题是对网页进行相关性挖掘。
One of the key problems of web mining is web relevant mining.
该文对这类问题进行了详细的讨论，提出了一种基于统计方法的正负时态相关性挖掘算法。
In this paper we discuss this problem in detail and put forward a method of mining positive and negative temporal correlation based on statistics.
就这种意义上来说，文本挖掘从内容收集信息的能力几乎是不可思议的，但是最好关注一下相关性评分。
In this sense, textual mining almost seems magical with respect to what can be gleaned from the content, but it's best to keep an eye on the relevance scoring.
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